Scaled ReLU Matters for Training Vision Transformers Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin

Search Strategies for Topological Network Optimization Michael D. Moffitt

Fully Attentional Network for Semantic Segmentation Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang

Efficient Riemannian Meta-Optimization by Implicit Differentiation Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi

Video as Conditional Graph Hierarchy for Multi-Granular Question Answering Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua

A Causal Inference Look at Unsupervised Video Anomaly Detection Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu

MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition Ge Yuan, Huicheng Zheng, Jiayu Dong

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks Adam Goodge, Bryan Hooi, Ng See Kiong, Ng Wee Siong

End-to-End Line Drawing Vectorization Hanyuan Liu, Chengze Li, Xueting Liu, Tien-Tsin Wong

Online-Updated High-Order Collaborative Networks for Single Image Deraining Cong Wang, Jinshan Pan, Xiao-Ming Wu

Up to 100$ imes$ Faster Data-Free Knowledge Distillation Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song

Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang

MMA: Multi-Camera Based Global Motion Averaging Hainan Cui, Shuhan Shen

Stereo Neural Vernier Caliper Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng AnchorFace: Boosting TAR@FAR for Practical Face Recognition Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang

Learning to Learn Transferable Attack Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji

A Causal Debiasing Framework for Unsupervised Salient Object Detection Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu

Unsupervised Temporal Video Grounding with Deep Semantic Clustering Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou

Exploring Motion and Appearance Information for Temporal Sentence Grounding Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu

Best-Buddy GANs for Highly Detailed Image Super-Resolution Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu

Visual Sound Localization in the Wild by Cross-Modal Interference Erasing Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin, Hongteng Xu, Canqian Yang, Yu Xi

NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem Jiejiang Chen, Yiyuan Wang, Shaowei Cai, Minghao Yin, Yupeng Zhou, Jieyu Wu

A Fast Local Search Algorithm for the Latin Square Completion Problem Shiwei Pan, Yiyuan Wang, Minghao Yin

Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang

Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton

PageRank for Edges: Axiomatic Characterization Natalia Kucharczuk, Tomasz Wąs, Oskar Skibski

Stationary Diffusion State Neural Estimation for Multiview Clustering Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan

Efficient Model-Driven Network for Shadow Removal Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha

Pan-Sharpening with Customized Transformer and Invertible Neural Network Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow PredictionJiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang

MTLDesc: Looking Wider to Describe Better Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Weiliang Meng, Bin Fan, Xiaopeng Zhang

Truthful Cake Sharing Xiaohui Bei, Xinhang Lu, Warut Suksompong

Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu

OneRel: Joint Entity and Relation Extraction with One Module in One Step Yu-Ming Shang, Heyan Huang, Xian-Ling Mao

TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song

Contrastive Quantization with Code Memory for Unsupervised Image Retrieval Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia

Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction Ta-Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu

Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha

Meta Propagation Networks for Graph Few-Shot Semi-Supervised Learning Kaize Ding, Jianling Wang, James Caverlee, Huan Liu

PMAL: Open Set Recognition via Robust Prototype Mining Jing Lu, Yunlu Xu, Hao Li, Zhanzhan Cheng, Yi Niu

ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting Yuke Li, Pin Wang, Lixiong Chen, Zheng Wang, Ching-Yao Chan

Knowledge Compilation Meets Logical Separability Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong

One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu

Anchor DETR: Query Design for Transformer-Based Object Detection Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao

GuidedMix-Net: Semi-Supervised Semantic Segmentation by Using Labeled Images as Reference Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao

Risk-Aware Stochastic Shortest PathTobias Meggendorfer

Task-Level Self-Supervision for Cross-Domain Few-Shot Learning Wang Yuan, Zhizhong Zhang, Cong Wang, Haichuan Song, Yuan Xie, Lizhuang Ma

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng

MoCaNet: Motion Retargeting in-the-Wild via Canonicalization Networks Wentao Zhu, Zhuoqian Yang, Ziang Di, Wayne Wu, Yizhou Wang, Chen Change Loy

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse Junyi Li, Bin Gu, Heng Huang

SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang

Privacy-Preserving Face Recognition in the Frequency Domain Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang

Towards Fully Sparse Training: Information Restoration with Spatial Similarity Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng

Improving Bayesian Neural Networks by Adversarial Sampling Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

Continual Learning Through Retrieval and Imagination Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao

Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super- Resolution Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou

Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang

Multi-Knowledge Aggregation and Transfer for Semantic Segmentation Yuang Liu, Wei Zhang, Jun Wang

P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence Yahao Shi, Xinyu Cao, Feixiang Lu, Bin Zhou

Learning Token-Based Representation for Image Retrieval Hui Wu, Min Wang, Wengang Zhou, Yang Hu, Houqiang Li

HEAL: A Knowledge Graph for Distress Management Conversations Anuradha Welivita, Pearl Pu

Weakly-Supervised Salient Object Detection Using Point Supervison Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang

Comprehensive Regularization in a Bi-Directional Predictive Network for Video Anomaly DetectionChengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma

QueryProp: Object Query Propagation for High-Performance Video Object Detection Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang

Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds Zhenbo Shi, Zhi Chen, Zhenbo Xu, Wei Yang, Zhidong Yu, Liusheng Huang

Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng

Channelized Axial Attention - Considering Channel Relation within Spatial Attention for Semantic Segmentation Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He

Dynamic Spatial Propagation Network for Depth Completion Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang

Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng

Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu

The Price of Selfishness: Conjunctive Query Entailment for ALCSelf is 2EXPTIME-Hard Bartosz Bednarczyk, Sebastian Rudolph

SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu

Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity In Memory Jialun Liu, Wenhui Li, Yifan Sun

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu

InsCLR: Improving Instance Retrieval with Self-Supervision Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang

The Secretary Problem with Competing Employers on Random Edge Arrivals Xiaohui Bei, Shengyu Zhang

FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu

Hierarchical Image Generation via Transformer-Based Sequential Patch Selection Xiaogang Xu, Ning Xu

Deformable Part Region Learning for Object Detection Seung-Hwan Bae

SCALoss: Side and Corner Aligned Loss for Bounding Box RegressionTu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai

Dual Contrastive Learning for General Face Forgery Detection Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li

Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng

Exploring Visual Context for Weakly Supervised Person Search Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang

Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma

Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection Qiangeng Xu, Yiqi Zhong, Ulrich Neumann

Deep Confidence Guided Distance for 3D Partial Shape Registration Dvir Ginzburg, Dan Raviv

Prevailing in the Dark: Information Walls in Strategic Games Pavel Naumov, Wenxuan Zhang

ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images Binh M. Le, Simon S. Woo

Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation Yi Li, Yi Chang, Changfeng Yu, Luxin Yan

Siamese Network with Interactive Transformer for Video Object Segmentation Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang

Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks Biyang Liu, Huimin Yu, Yangqi Long

Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling Shengqiong Wu, Hao Fei, Fei Li, Meishan Zhang, Yijiang Liu, Chong Teng, Donghong Ji

VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao

Improved Text Classification via Contrastive Adversarial Training Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar

Unified Named Entity Recognition as Word-Word Relation ClassificationJingye Li, Donghong Ji, Jiang Liu, Hao Fei, Meishan Zhang, Shengqiong Wu, Chong Teng, Fei Li

Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, Lixin Duan

Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, Bo Ren

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang, Zirui Wang, Qi Dou

From Actions to Programs as Abstract Actual Causes Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski

Degrade is Upgrade: Learning Degradation for Low-Light Image Enhancement Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin

Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng

FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke

Machine Learning for Utility Prediction in Argument-Based Computational Persuasion Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni

Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan, Zhisong Pan

Multiscale Dynamic Coding improved Spiking Actor Network for Reinforcement Learning Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Bo Xu

SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan

Graph Structure Learning with Variational Information Bottleneck Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu

SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu

Beyond Learning Features: Training a Fully-Functional Classifier with Zero Instance-Level Labels Deepak Babu Sam, Abhinav Agarwalla, R. Venkatesh Babu

Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl

Learning Disentangled Classification and Localization Representations for Temporal Action Localization Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, Gang Hua

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm DetectionTing Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu

Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi

SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong

Weighted Fairness Notions for Indivisible Items Revisited Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong

LGD: Label-Guided Self-Distillation for Object Detection Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun

Fuzzy Logic based Logical Query Answering on Knowledge Graphs Xuelu Chen, Ziniu Hu, Yizhou Sun

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

Self-Supervised Object Localization with Joint Graph Partition Yukun Su, Guosheng Lin, Yiwen Cao, Qingyao Wu

Invariant Information Bottleneck for Domain Generalization Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

Weakly Supervised Neural Symbolic Learning for Cognitive Tasks Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin

Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi

Attention-Aligned Transformer for Image Captioning Zhengcong Fei

Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection Xinpeng Liu, Yong-Lu Li, Cewu Lu

DANets: Deep Abstract Networks for Tabular Data Classification and Regression Jintai Chen, KuanLun Liao, Yao Wan, Danny Z. Chen, Jian Wu

Neighborhood-Adaptive Structure Augmented Metric Learning Pandeng Li, Yan Li, Hongtao Xie, Lei Zhang

DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng

Logit Perturbation Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang

Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning Xiaoshan Yang, Baochen Xiong, Yi Huang, Changsheng Xu You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu

FFNet: Frequency Fusion Network for Semantic Scene Completion Xuzhi Wang, Di Lin, Liang Wan

Hedonic Games with Fixed-Size Coalitions Vittorio Bilò, Gianpiero Monaco, Luca Moscardelli

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin

Mutual Contrastive Learning for Visual Representation Learning Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

Path-Specific Objectives for Safer Agent Incentives Sebastian Farquhar, Ryan Carey, Tom Everitt

Can Semantic Labels Assist Self-Supervised Visual Representation Learning? Longhui Wei, Lingxi Xie, Jianzhong He, Xiaopeng Zhang, Qi Tian

Understanding Enthymemes in Deductive Argumentation Using Semantic Distance Measures Anthony Hunter

FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi

Finite Entailment of Local Queries in the Z Family of Description Logics Bartosz Bednarczyk, Emanuel Kieroński

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation Xixia Xu, Qi Zou, Xue Lin

Block-Skim: Efficient Question Answering for Transformer Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye

Divide-and-Regroup Clustering for Domain Adaptive Person Re-Identification Zhengdong Hu, Yifan Sun, Yi Yang, Jianguang Zhou

A Unifying Theory of Thompson Sampling for Continuous Risk-Averse BanditsJoel Q. L. Chang, Vincent Y. F. Tan

Image Difference Captioning with Pre-Training and Contrastive Learning Linli Yao, Weiying Wang, Qin Jin

Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process Huafeng Liu, Tong Zhou, Jiaqi Wang, Liping Jing, Michael K. Ng

Assessing a Single Image in Reference-Guided Image Synthesis Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang

Fusion Multiple Kernel K-Means Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

On the Complexity of Inductively Learning Guarded Clauses Andrei Draghici, Georg Gottlob, Matthias Lanzinger

Input-Specific Robustness Certification for Randomized Smoothing Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng

When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang

Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid Fusion Tianqi Tang, Heming Du, Xin Yu, Yi Yang

Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data Shenwang Jiang, Jianan Li, Ying Wang, Tingfa Xu, Bo Huang, Zhang Zhang

PEA+IDA: An Improved Hybrid Memory-Restricted Algorithm** Frederico Messa, André G. Pereira

One More Check: Making “Fake Background” Be Tracked Again Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu

ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng

SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem

DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He

Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models Diana Kim, Ahmed Elgammal, Marian Mazzone

Content-Variant Reference Image Quality Assessment via Knowledge Distillation Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun Efficient Virtual View Selection for 3D Hand Pose Estimation Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, Yinda Zhang

Shadow Generation for Composite Image in Real-World Scenes Yan Hong, Li Niu, Jianfu Zhang

PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation Yihua Cheng, Yiwei Bao, Feng Lu

MobileFaceSwap: A Lightweight Framework for Video Face Swapping Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding

JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection Nan Song, Tianyuan Jiang, Jian Yao

Retinomorphic Object Detection in Asynchronous Visual Streams Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian

Inharmonious Region Localization by Magnifying Domain Discrepancy Jing Liang, Li Niu, Penghao Wu, Fengjun Guo, Teng Long

BM-NAS: Bilevel Multimodal Neural Architecture Search Yihang Yin, Siyu Huang, Xiang Zhang

Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations Konstantinos P. Panousis, Anastasios Antoniades, Sotirios Chatzis

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan

Self-Labeling Framework for Novel Category Discovery over Domains Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Low-Light Image Enhancement with Normalizing Flow Yufei Wang, Renjie Wan, Haoliang Li, Wenhan Yang, Lap-Pui Chau, Alex C. Kot

Towards Light-Weight and Real-Time Line Segment Detection Geonmo Gu, Byungsoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin

Making Translations to Classical Planning Competitive with Other HTN Planners Gregor Behnke, Florian Pollitt, Daniel Höller, Pascal Bercher, Ron Alford

Energy-Based Generative Cooperative Saliency Prediction Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

Social Interpretable Tree for Pedestrian Trajectory Prediction Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua

SFSRNet: Super-Resolution for Single-Channel Audio Source Separation Joel Rixen, Matthias Renz Dual Attention Networks for Few-Shot Fine-Grained Recognition Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang

Learning Universal Adversarial Perturbation by Adversarial Example Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang

L-CoDe: Language-Based Colorization Using Color-Object Decoupled Conditions Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, Boxin Shi

A+BFHS: A Hybrid Heuristic Search Algorithm* Zhaoxing Bu, Richard E. Korf

Dist2Cycle: A Simplicial Neural Network for Homology Localization Alexandros D. Keros, Vidit Nanda, Kartic Subr

TransZero: Attribute-Guided Transformer for Zero-Shot Learning Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Xinge You, Ke Lu

SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li

A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection Zhipeng Xie, Yumin Tu

Efficient Compact Bilinear Pooling via Kronecker Product Tan Yu, Yunfeng Cai, Ping Li

Multi-Centroid Representation Network for Domain Adaptive Person Re-ID Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang

Proximal PanNet: A Model-Based Deep Network for Pansharpening Xiangyong Cao, Yang Chen, Wenfei Cao

End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song

Clustering Approach to Solve Hierarchical Classification Problem Complexity Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

Geometry-Contrastive Transformer for Generalized 3D Pose Transfer Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao

Cross-Domain Few-Shot Graph Classification Kaveh Hassani

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal

PrivateSNN: Privacy-Preserving Spiking Neural Networks Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda Error-Based Knockoffs Inference for Controlled Feature Selection Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard Hovy, Varun Gangal

MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li

Latent Space Explanation by Intervention Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan

Prior Gradient Mask Guided Pruning-Aware Fine-Tuning Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu

Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang

Learning Logic Programs Through Divide, Constrain, and Conquer Andrew Cropper

Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li

Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning Manlin Zhang, Jinpeng Wang, Andy J. Ma

Invariant Action Effect Model for Reinforcement Learning Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang

Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning Jin Chen, Xiaofeng Ji, Xinxiao Wu

Action-Aware Embedding Enhancement for Image-Text Retrieval Jiangtong Li, Li Niu, Liqing Zhang

Tracing Text Provenance via Context-Aware Lexical Substitution Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu

Efficient Robust Training via Backward Smoothing Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

Towards End-to-End Image Compression and Analysis with Transformers Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao

Iterative Calculus of Voting under Plurality Fabricio Vasselai

State Deviation Correction for Offline Reinforcement Learning Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss Hao Wang, Euijoon Ahn, Jinman Kim

Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations Aditya Kalyanpur, Thomas Breloff, David Ferrucci

DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

Real-Time Driver-Request Assignment in Ridesourcing Hao Wang, Xiaohui Bei

Multi-View Clustering on Topological Manifold Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu

From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension Nuo Chen, Linjun Shou, Ming Gong, Jian Pei

Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong

Learning Optical Flow with Adaptive Graph Reasoning Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu

Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning Haoran Xu, Xianyuan Zhan, Xiangyu Zhu

CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai- Kuang Ma

Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-Trained Transformers Minjia Zhng, Niranjan Uma Naresh, Yuxiong He

Max-Min Grouped Bandits Zhenlin Wang, Jonathan Scarlett

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du

Pose-Invariant Face Recognition via Adaptive Angular Distillation Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao

SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao

Optimize What You Evaluate with: Search Result Diversification Based on Approximate Metric Optimization Hai-Tao Yu Speeding up the RUL ̄ Dynamic-Controllability-Checking Algorithm for Simple Temporal Networks with Uncertainty Luke Hunsberger, Roberto Posenato

Patch Diffusion: A General Module for Face Manipulation Detection Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang

Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer Sunwoo Kim, Soohyun Kim, Seungryong Kim

Complementary Attention Gated Network for Pedestrian Trajectory Prediction Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua

Homography Decomposition Networks for Planar Object Tracking Xinrui Zhan, Yang Li, Yueran Liu, Jianke Zhu

Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu

Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Lizhuang Ma

Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu

How to Distribute Data across Tasks for Meta-Learning? Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel Garcia, Da-shan Shiu, Alberto Bernacchia

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu

New Results in Bounded-Suboptimal Search Maximilian Fickert, Tianyi Gu, Wheeler Ruml

Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-Trained Source Models Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo

Bi-Volution: A Static and Dynamic Coupled Filter Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu

Operator-Potential Heuristics for Symbolic Search Daniel Fišer, Alvaro Torralba, Jörg Hoffmann

Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang

Powering Finetuning for Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides Vision Transformers are Robust Learners Sayak Paul, Pin-Yu Chen

Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation Lukáš Chrpa, Pavel Rytíř, Rostislav Horčík, Stefan Edelkamp

Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models Juan Ramirez-Orta, Eduardo Xamena, Ana Maguitman, Evangelos Milios, Axel J. Soto

ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang

Unsupervised Underwater Image Restoration: From a Homology Perspective Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding

SOIT: Segmenting Objects with Instance-Aware Transformers Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan

Width & Depth Pruning for Vision Transformers Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui

Explore Inter-Contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma

LaSSL: Label-Guided Self-Training for Semi-Supervised Learning Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao

AdaptivePose: Human Parts as Adaptive Points Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He

Learning Quality-Aware Representation for Multi-Person Pose Regression Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang

Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables Lifeng Zhang, Shimo Yang, Hongxun Jiang

Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition Jian Jia, Naiyu Gao, Fei He, Xiaotang Chen, Kaiqi Huang

Texture Reformer: Towards Fast and Universal Interactive Texture Transfer Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu

Deep Spatial Adaptive Network for Real Image Demosaicing Tao Zhang, Ying Fu, Cheng Li

Shape-Adaptive Selection and Measurement for Oriented Object Detection Liping Hou, Ke Lu, Jian Xue, Yuqiu Li

Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed ClassificationXiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang

Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN Inversion Jinsong Chen, Hu Han, Shiguang Shan

Cross-Species 3D Face Morphing via Alignment-Aware Controller Xirui Yan, Zhenbo Yu, Bingbing Ni, Hang Wang

OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation Lifan Zhao, Yunlong Meng, Lin Xu

Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao, Jingyi Yu

Towards a Rigorous Evaluation of Time-Series Anomaly Detection Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

Boosting Contrastive Learning with Relation Knowledge Distillation Kai Zheng, Yuanjiang Wang, Ye Yuan

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang, Tianxiang Pan, Bin Wang

Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen

Unbiased IoU for Spherical Image Object Detection Feng Dai, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Peng Yuan, Chenggang Yan, Qiang Zhao

AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Texas Hold’em from End-to- End Reinforcement Learning Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing

Interact, Embed, and EnlargE (IEEE): Boosting Modality-Specific Representations for Multi-Modal Person Re- Identification Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang

Active Boundary Loss for Semantic Segmentation Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu

Safe Distillation Box Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang

MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks Nicholas Hoernle, Rafael Michael Karampatsis, Vaishak Belle, Kobi Gal Temporal Action Proposal Generation with Background Constraint Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection Xianpeng Liu, Nan Xue, Tianfu Wu

FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition Ola Ahmad, Freddy Lecue

Generalized Stochastic Matching Alireza Farhadi, Jacob Gilbert, MohammadTaghi Hajiaghayi

Exploiting Invariance in Training Deep Neural Networks Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Anytime Guarantees Under Heavy-Tailed Data Matthew J. Holland

ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, CheeKong Lee

Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation Binjie Mao, Xinbang Zhang, Lingfeng Wang, Qian Zhang, Shiming Xiang, Chunhong Pan

Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie

Disentangled Spatiotemporal Graph Generative Model Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Zhao Liang

Restorable Image Operators with Quasi-Invertible Networks Hao Ouyang, Tengfei Wang, Qifeng Chen

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning Abdus Salam Azad, Edward Kim, Mark Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto Sangiovanni-Vincentelli, Sanjit Seshia

Improving Evidential Deep Learning via Multi-Task Learning Dongpin Oh, Bonggun Shin

Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji

Adversarial Learning from Crowds Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein

Defending Against Model Stealing via Verifying Embedded External Features Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

GenCo: Generative Co-Training for Generative Adversarial Networks with Limited Data Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu

Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie, Wenjun Zeng

Differentially Private Normalizing Flows for Synthetic Tabular Data Generation Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro

Meta-Learning for Online Update of Recommender Systems Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee

Heterogeneous Facility Location with Limited Resources Argyrios Deligkas, Aris Filos Ratsikas, Alexandros A. Voudouris

Federated Learning for Face Recognition with Gradient Correction Yifan Niu, Weihong Deng

Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen

DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions Jonathan Raiman

Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan

A Calculus for Computing Structured Justifications for Election Outcomes Arthur Boixel, Ulle Endriss, Ronald de Haan

Active Learning for Domain Adaptation: An Energy-Based Approach Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang

Attention-Based Transformation from Latent Features to Point Clouds Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin

Discovering Interpretable Data-to-Sequence Generators Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula Sagar Malhotra, Luciano Serafini Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets Niclas Boehmer, Klaus Heeger, Rolf Niedermeier

DiPS: Differentiable Policy for Sketching in Recommender Systems Aritra Ghosh, Saayan Mitra, Andrew Lan

Event-Image Fusion Stereo Using Cross-Modality Feature Propagation Hoonhee Cho, Kuk-Jin Yoon

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek

Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence Alina Ene, Huy L. Nguyen

BERTMap: A BERT-Based Ontology Alignment System Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks

Learning from Weakly-Labeled Web Videos via Exploring Sub-Concepts Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang

Parameter Differentiation Based Multilingual Neural Machine Translation Qian Wang, Jiajun Zhang

Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen, Yangfeng Ji

Is There a Strongest Die in a Set of Dice with the Same Mean Pips? Shang Lu, Shuji Kijima

Efficient Non-Local Contrastive Attention for Image Super-Resolution Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou

Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina

Self-Supervised Pre-Training for Protein Embeddings Using Tertiary Structures Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang

XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan

PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafał Kurczab, Marek Śmieja

Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection Jinpeng Dong, Yuhao Huang, Songyi Zhang, Shitao Chen, Nanning Zheng Reforming an Envy-Free Matching Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yuta Nozaki, Yoshio Okamoto, Kenta Ozeki

Uncertainty-Driven Dehazing Network Ming Hong, Jianzhuang Liu, Cuihua Li, Yanyun Qu

Edge-Aware Guidance Fusion Network for RGB–Thermal Scene Parsing Wujie Zhou, Shaohua Dong, Caie Xu, Yaguan Qian

Adversarial Attack for Asynchronous Event-Based Data WooJu Lee, Hyun Myung

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu

PetsGAN: Rethinking Priors for Single Image Generation Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou

Combating Adversaries with Anti-Adversaries Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi, Philip H.S. Torr, Bernard Ghanem

"I Don’t Think So”: Summarizing Policy Disagreements for Agent Comparison Yotam Amitai, Ofra Amir

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang

Adversarial Robustness in Multi-Task Learning: Promises and Illusions Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon

Entropy-Based Logic Explanations of Neural Networks Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci

DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration Zhi Chen, Fan Yang, Wenbing Tao

Diagnostics-Guided Explanation Generation Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein

SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re- Identification Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo

VECA: A New Benchmark and Toolkit for General Cognitive Development Kwanyoung Park, Hyunseok Oh, Youngki Lee

Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni

Learngene: From Open-World to Your Learning Task Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu

ReX: An Efficient Approach to Reducing Memory Cost in Image Classification Xuwei Qian, Renlong Hang, Qingshan Liu

Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction Zongzhao Li, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang

Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun

Flexible Instance-Specific Rationalization of NLP Models George Chrysostomou, Nikolaos Aletras

Multi-Unit Auction in Social Networks with Budgets Mingyu Xiao, Yuchao Song, Bakh Khoussainov

Explainable Planner Selection for Classical Planning Patrick Ferber, Jendrik Seipp

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win Utku Evci, Yann Dauphin, Yani Ioannou, Cem Keskin

Optimal Sampling Gaps for Adaptive Submodular Maximization Shaojie Tang, Jing Yuan

PlanVerb: Domain-Independent Verbalization and Summary of Task Plans Gerard Canal, Senka Krivić, Paul Luff, Andrew Coles

Deep Recurrent Neural Network with Multi-Scale Bi-Directional Propagation for Video Deblurring Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang

Interpretable Clustering via Multi-Polytope Machines Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung Phan, Chandra Reddy

Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu

BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo yuan

NAREOR: The Narrative Reordering Problem Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard Hovy

Planning with Explanations for Finding Desired Meeting Points on Graphs Keisuke Otaki

Algorithmic Bayesian Persuasion with Combinatorial Actions Kaito Fujii, Shinsaku Sakaue Not All Parameters Should be Treated Equally: Deep Safe Semi-Supervised Learning under Class Distribution Mismatch Rundong He, Zhongyi Han, Yang Yang, Yilong Yin

Gaussian Process Bandits with Aggregated Feedback Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong

Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces Andrés G Jaramillo-Yánez, Marco E. Benalcázar, Sebastian Sardina, Fabio Zambetta

SJDL-Vehicle: Semi-Supervised Joint Defogging Learning for Foggy Vehicle Re-Identification Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang

FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos Juan Hu, Xin Liao, Jinwen Liang, Wenbo Zhou, Zheng Qin

Deeply Tensor Compressed Transformers for End-to-End Object Detection Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen

Lifelong Person Re-Identification by Pseudo Task Knowledge Preservation Wenhang Ge, Junlong Du, Ancong Wu, Yuqiao Xian, Ke Yan, Feiyue Huang, Wei-Shi Zheng

Extended Goal Recognition Design with First-Order Computation Tree Logic Tsz-Chiu Au

Semi-Supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz Lehmann

Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li, Qiang Liu

Robust Graph-Based Multi-View Clustering Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu Co-Promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach Lei Zhang, Xiang Wang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu

HoD-Net: High-Order Differentiable Deep Neural Networks and Applications Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang

TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin

On Paraconsistent Belief Revision in LP Nicolas Schwind, Sébastien Konieczny, Ramón Pino-Pérez

Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints Ruijin Liu, Dapeng Chen, Zejian Yuan, Tie Liu, Zhiliang Xiong

From Dense to Sparse: Contrastive Pruning for Better Pre-Trained Language Model Compression Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

Go Wider Instead of Deeper Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You

Classical Planning with Avoid Conditions Marcel Steinmetz, Jörg Hoffmann, Alisa Kovtunova, Stefan Borgwardt

Pretrained Cost Model for Distributed Constraint Optimization Problems Yanchen Deng, Shufeng Kong, Bo An

Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes Christian Schilling, Marcelo Forets, Sebastián Guadalupe

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An

Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli

Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds Junho Koh, Jaekyum Kim, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi

Single-Agent Dynamics in Additively Separable Hedonic Games Felix Brandt, Martin Bullinger, Leo Tappe

Barely-Supervised Learning: Semi-Supervised Learning with very few Labeled Images Thomas Lucas, Philippe Weinzaepfel, Gregory Rogez

Detail-Preserving Transformer for Light Field Image Super-Resolution Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di

DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai Transformer Uncertainty Estimation with Hierarchical Stochastic Attention Jiahuan Pei, Cheng Wang, Gyorgy Szarvas

Boosting the Transferability of Video Adversarial Examples via Temporal Translation Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

Towards Transferable Adversarial Attacks on Vision Transformers Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang

Episodic Policy Gradient Training Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh

On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang

Gradient Based Activations for Accurate Bias-Free Learning Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P Namboodiri

Reinforcement Learning of Causal Variables Using Mediation Analysis Tue Herlau, Rasmus Larsen

Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu

EqGNN: Equalized Node Opportunity in Graphs Uriel Singer, Kira Radinsky

Low-Pass Graph Convolutional Network for Recommendation Wenhui Yu, Zixin Zhang, Zheng Qin

Deconfounded Visual Grounding Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang

Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation Xiang Li, Jinglu Wang, Xiao Li, Yan Lu

Optimized Potential Initialization for Low-Latency Spiking Neural Networks Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang

Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim

TAG: Learning Timed Automata from Logs Lénaïg Cornanguer, Christine Largouët, Alexandre Termier, Laurence Rozé

The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning Daniel Kienitz, Ekaterina Komendantskaya, Michael Lones

Secretary Matching with Vertex Arrivals and No RejectionsMohak Goyal

Model-Based Image Signal Processors via Learnable Dictionaries Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Aleš Leonardis, Eduardo Pérez-Pellitero

Reference-Based Speech Enhancement via Feature Alignment and Fusion Network Huanjing Yue, Wenxin Duo, Jingyu Yang

Flow-Based Unconstrained Lip to Speech Generation Jinzheng He, Zhou Zhao, Yi Ren, Jinglin Liu, Baoxing Huai, Nicholas Yuan

Style-Guided and Disentangled Representation for Robust Image-to-Image Translation Jaewoong Choi, Daeha Kim, Byung Cheol Song

NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search Wanqi Xue, Bo An, Chai Kiat Yeo

Reinforcement Learning with Stochastic Reward Machines Jan Corazza, Ivan Gavran, Daniel Neider

On the Impossibility of Non-Trivial Accuracy in Presence of Fairness Constraints Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia

Inference and Learning with Model Uncertainty in Probabilistic Logic Programs Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt

Listwise Learning to Rank Based on Approximate Rank Indicators Thibaut Thonet, Yagmur Gizem Cinar, Eric Gaussier, Minghan Li, Jean-Michel Renders

BROS: A Pre-Trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park

Idiomatic Expression Paraphrasing without Strong Supervision Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

Optimizing Binary Decision Diagrams with MaxSAT for classification Hao Hu, Mohamed Siala, Marie-José Huguet

Strictly Proper Contract Functions Can Be Arbitrage-Free Eric Neyman, Tim Roughgarden

Online Certification of Preference-Based Fairness for Personalized Recommender Systems Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

Maximizing Nash Social Welfare in 2-Value Instances Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer, Kurt Mehlhorn, Marco Schmalhofer, Golnoosh Shahkarami, Giovanna Varricchio, Quentin Vermande, Ernest van Wijland Convolutional Neural Network Compression Through Generalized Kronecker Product Decomposition Marawan Gamal Abdel Hameed, Marzieh Tahaei, Ali Mosleh, Vahid Partovi Nia

SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning Hongyu Zang, Xin Li, Mingzhong Wang

Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics Rostislav Horčík, Daniel Fišer, Alvaro Torralba

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck

Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits Guojun Xiong, Jian Li, Rahul Singh

Discovering State and Action Abstractions for Generalized Task and Motion Planning Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling

Certified Robustness of Nearest Neighbors Against Data Poisoning and Backdoor Attacks Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong

Chaining Value Functions for Off-Policy Learning Simon Schmitt, John Shawe-Taylor, Hado van Hasselt

Towards Automating Model Explanations with Certified Robustness Guarantees Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff

Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder Elman Mansimov, Yi Zhang

Entailment Relation Aware Paraphrase Generation Abhilasha Sancheti, Rachel Rudinger, Balaji Vasan Srinivasan

CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets Bingyin Zhao, Yingjie Lao

Adaptive Kernel Graph Neural Network Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao

MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators Dingmin Wang, Pan Hu, Przemysław Andrzej Wałęga, Bernardo Cuenca Grau

Axiomatization of Aggregates in Answer Set Programming Jorge Fandinno, Zach Hansen, Yuliya Lierler

Semantic Self-Segmentation for Abstractive Summarization of Long Legal Documents in Low-Resource Regimes Gianluca Moro, Luca Ragazzi

Efficient Optimal Transport Algorithm by Accelerated Gradient DescentDongsheng An, Na Lei, Xiaoyin Xu, Xianfeng Gu

Hierarchical Context Tagging for Utterance Rewriting Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea

Preemptive Image Robustification for Protecting Users Against Man-in-the-Middle Adversarial Attacks Seungyong Moon, Gaon An, Hyun Oh Song

DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li

Learning and Dynamical Models for Sub-Seasonal Climate Forecasting: Comparison and Collaboration Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee

Selecting Optimal Context Sentences for Event-Event Relation Extraction Hieu Man Duc Trong, Nghia Ngo Trung, Linh Van Ngo, Thien Huu Nguyen

Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza, Yixuan Li

Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel

Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu, Lu Zhang

Cosine Model Watermarking Against Ensemble Distillation Laurent Charette, Lingyang Chu, Yizhou Chen, Lanjun Wang, Jian Pei, Yong Zhang

QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers Daniel Silver, Tirthak Patel, Devesh Tiwari

Sequential Blocked Matching Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Keypoint Message Passing for Video-Based Person Re-Identification Di Chen, Andreas Döring, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele

Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings Xiuwen Gong, Dong Yuan, Wei Bao Simple Unsupervised Graph Representation Learning Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

Contrast-Enhanced Semi-Supervised Text Classification with Few Labels Austin Cheng-Yun Tsai, Sheng-Ya Lin, Li-Chen Fu

Perceptual Quality Assessment of Omnidirectional Images Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu

Clinical-BERT: Vision-Language Pre-Training for Radiograph Diagnosis and Reports Generation Bin Yan, Mingtao Pei

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew Eberhard, Andreas Ernst

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing Liang Yang, Chuan Wang, Xiaochun Cao, Junhua Gu, Bingxin Niu, Yuanfang Guo, Weixun Li, Cheng Chen, Dongxiao He

Two-Stage Octave Residual Network for End-to-End Image Compression Fangdong Chen, Yumeng Xu, Li Wang

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao

Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection Na Zhao, Gim Hee Lee

Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction Jiawei Lu, He Wang, Tianjia Shao, Yin Yang, Kun Zhou

Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network Yuan Wang, Min Cao, Zhenfeng Fan, Silong Peng

Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation Huifeng Yao, Xiaowei Hu, Xiaomeng Li

Incorporating Constituent Syntax for Coreference Resolution Fan Jiang, Trevor Cohn

Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey, Yonatan Belinkov, Marek Rei

An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation Honguk Woo, Hyunsung Lee, Sangwoo Cho

Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng

Modeling Attrition in Recommender Systems with Departing Bandits Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour

A Novel Approach to Solving Goal-Achieving Problems for Board Games Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, I-Chen Wu

Structure Learning-Based Task Decomposition for Reinforcement Learning In Non-Stationary Environments Honguk Woo, Gwangpyo Yoo, Minjong Yoo

Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem Masoud Seddighin, Saeed Seddighin

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Zhou Zhao

Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-yu Duan

Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang

Parameterized Approximation Algorithms for k-Center Clustering and Variants Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi

Semantically Contrastive Learning for Low-Light Image Enhancement Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou

Generative Adaptive Convolutions for Real-World Noisy Image Denoising Ruijun Ma, Shuyi Li, Bob Zhang, Zhengming Li

A Self-Supervised Mixed-Curvature Graph Neural Network Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu

Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration Yinhuai Wang, Yujie Hu, Jian Zhang

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification Zhiyu Fang, Xiaobin Zhu, Chun Yang, Zheng Han, Xu-Cheng Yin, Jingyan Qin

Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations Jianglin Lan, Alessio Lomuscio, Yang Zheng

Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking Yidi Li, Hong Liu, Hao Tang

Reliable Propagation-Correction Modulation for Video Object SegmentationXiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu

Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains Hua Hua, Dongxu Li, Ruiqi Li, Peng Zhang, Jochen Renz, Anthony Cohn

Anisotropic Additive Quantization for Fast Inner Product Search Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen

Shrinking Temporal Attention in Transformers for Video Action Recognition Bonan Li, Pengfei Xiong, Congying Han, Tiande Guo

CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

Parallel and High-Fidelity Text-to-Lip Generation Jinglin Liu, Zhiying Zhu, Yi Ren, Wencan Huang, Baoxing Huai, Nicholas Yuan, Zhou Zhao

Chunk Dynamic Updating for Group Lasso with ODEs Diyang Li, Bin Gu

DialogLM: Pre-Trained Model for Long Dialogue Understanding and Summarization Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang

BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles Yunxiang Zhang, Xiaojun Wan

Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval Shijie Wang, Zhihui Wang, Haojie Li, Wanli Ouyang

Robust Depth Completion with Uncertainty-Driven Loss Functions Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi

MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction Ling Sun, Yuan Rao, Xiangbo Zhang, Yuqian Lan, Shuanghe Yu

Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler, Jack Parker-Holder, Philip Ball, Stefan Zohren, Stephen J. Roberts

Deepfake Network Architecture Attribution Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li

InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation Pierre Colombo, Chloé Clavel, Pablo Piantanida

Towards Bridging Sample Complexity and Model Capacity Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni

Two Compacted Models for Efficient Model-Based Diagnosis Huisi Zhou, Dantong Ouyang, Xiangfu Zhao, Liming Zhang Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization Litian Zhang, Junshu Pan, Xiaoming Zhang, Feiran Huang

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

Complexity of Deliberative Coalition Formation Edith Elkind, Abheek Ghosh, Paul Goldberg

Word Level Robustness Enhancement: Fight Perturbation with Perturbation Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu, FeiFei Ma, Jian Zhang

Learning from Label Proportions with Prototypical Contrastive Clustering Laura Elena Cue la Rosa, Dario Augusto Borges Oliveira

On the Impact of Spurious Correlation for Out-of-Distribution Detection Yifei Ming, Yin Hang, Yixuan Li

Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang

Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li

Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng

Coarse-to-Fine Generative Modeling for Graphic Layouts Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang

Learning to Walk with Dual Agents for Knowledge Graph Reasoning Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, Anil Vullikanti

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu

Fast Sparse Decision Tree Optimization via Reference Ensembles Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo Seltzer

Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo- Supervision from Synthetic Optical Flow Kaihong Wang, Kumar Akash, Teruhisa Misu

Leashing the Inner Demons: Self-Detoxification for Language Models Canwen Xu, Zexue He, Zhankui He, Julian McAuley

Fair and Truthful Giveaway Lotteries Yonatan Aumann, Tal Arbiv

Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu

DeepHardMark: Towards Watermarking Neural Network Hardware Joseph Clements, Yingjie Lao

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Xing

The Triangle-Densest-k-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization Aritra Konar, Nicholas D. Sidiropoulos

Active Learning on Pre-Trained Language Model with Task-Independent Triplet Loss Seungmin Seo, Donghyun Kim, Youbin Ahn, Kyong-Ho Lee

Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

A First Mathematical Runtime Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) Weijie Zheng, Yufei Liu, Benjamin Doerr

What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies Leandro C. Medeiros, David S. Aleixo, Levi H. S. Lelis

Identifiability of Linear AMP Chain Graph Models Yuhao Wang, Arnab Bhattacharyya

Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation Yicong He, George K. Atia

Reliable Inlier Evaluation for Unsupervised Point Cloud Registration Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang

Wasserstein Unsupervised Reinforcement Learning Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji

Sim2Real Object-Centric Keypoint Detection and Description Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu, Huaping Liu, Wenbing Huang

Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation Shili Zhou, Weimin Tan, Bo Yan Explainable Survival Analysis with Convolution-Involved Vision Transformer Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng

Improving Human-Object Interaction Detection via Phrase Learning and Label Composition Zhimin Li, Cheng Zou, Yu Zhao, Sheng Zhong, Boxun Li

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-Training Weizhe Yuan, Pengfei Liu

Dual Decoupling Training for Semi-Supervised Object Detection with Noise-Bypass Head Shida Zheng, Chenshu Chen, Xiaowei Cai, Tingqun Ye, Wenming Tan

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma

JAKET: Joint Pre-Training of Knowledge Graph and Language Understanding Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng

Towards an Effective Orthogonal Dictionary Convolution Strategy Yishi Li, Kunran Xu, Rui Lai, Lin Gu

Context Uncertainty in Contextual Bandits with Applications to Recommender Systems Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang

Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee, Junseok Lee, Chanyoung Park

Multi-View Intent Disentangle Graph Networks for Bundle Recommendation Sen Zhao, Wei Wei, Ding Zou, Xianling Mao

Self-Supervised Pretraining for RGB-D Salient Object Detection Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan

EtinyNet: Extremely Tiny Network for TinyML Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu

Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo

Adaptive Orthogonal Projection for Continual Learning Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu

Deep Unsupervised Hashing with Latent Semantic Components Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

Cross-Domain Collaborative Normalization via Structural Knowledge Haifeng Xia, Zhengming Ding

Text is No More Enough! A Benchmark for Profile-Based Spoken Language UnderstandingXiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che, Ting Liu

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun

MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W.H. Lau

An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang

Multi-Type Urban Crime Prediction Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang

Robust Tests in Online Decision-Making Gi-Soo Kim, Jane Paik Kim, Hyun-Joon Yang

RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning Hansheng Xue, Vijini G Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin

Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning Huanqin Wu, Baijiaxin Ma, Wei Liu, Tao Chen, Dan Nie

Correlation Field for Boosting 3D Object Detection in Structured Scenes Jianhua Sun, Hao-Shu Fang, Xianghui Zhu, Jiefeng Li, Cewu Lu

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin

Deep Fusing Pre-Trained Models into Neural Machine Translation Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang

Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

Reconfiguring Shortest Paths in Graphs Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar, Abhiruk Lahiri

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li

LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng

Instance Selection: A Bayesian Decision Theory Perspective Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang

Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining Minghang Zheng, Yanjie Huang, Yang Liu, Qingchao Chen

ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li Ensemble Semi-Supervised Entity Alignment via Cycle-Teaching Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu

Rethinking the Two-Stage Framework for Grounded Situation Recognition Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua

Contrastive Instruction-Trajectory Learning for Vision-Language Navigation Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang

Obtaining Calibrated Probabilities with Personalized Ranking Models Wonbin Kweon, SeongKu Kang, Hwanjo Yu

Scaling Neural Program Synthesis with Distribution-Based Search Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Potta

Zero Stability Well Predicts Performance of Convolutional Neural Networks Liangming Chen, Long Jin, Mingsheng Shang

Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi

Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime Rui Zhang, Shihua Zhang

Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang

How to Find a Good Explanation for Clustering? Sayan Bandyapadhyay, Fedor Fomin, Petr Golovach, William Lochet, Nidhi Purohit, Kirill Simonov

RID-Noise: Towards Robust Inverse Design under Noisy Environments Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan

Split Moves for Monte-Carlo Tree Search Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykuła, Mark H. M. Winands

Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng

Participatory Budgeting with Donations and Diversity Constraints Jiehua Chen, Martin Lackner, Jan Maly

Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein Sharp Analysis of Random Fourier Features in Classification Zhu Li

DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior Shuangping Jin, Bingbing Yu, Minhao Jing, Yi Zhou, Jiajun Liang, Renhe Ji

Leaping through Time with Gradient-Based Adaptation for Recommendation Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata

Balanced Self-Paced Learning for AUC Maximization Chenkang Zhang, Bin Gu, Huan Xiong, Heng Huang

Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees Ruiwei Wang, Roland H. C. Yap

On the Computation of Necessary and Sufficient Explanations Adnan Darwiche, Chunxi Ji

Graph-Based Point Tracker for 3D Object Tracking in Point Clouds Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim

Fully Spiking Variational Autoencoder Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada

Self-Supervised Enhancement of Latent Discovery in GANs Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, S Sumitra

Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-Directional Mutual Learning Xiaohang Bian, Bo Qin, Xiaozhe Xin, Jianwu Li, Xuefeng Su, Yanfeng Wang

UNISON: Unpaired Cross-Lingual Image Captioning Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu

Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability Aviv Tamar, Daniel Soudry, Ev Zisselman

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints Jinyang Yuan, Bin Li, Xiangyang Xue

UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang

UFPMP-Det:Toward Accurate and Efficient Object Detection on Drone Imagery Yecheng Huang, Jiaxin Chen, Di Huang

PolygonE: Modeling N-Ary Relational Data as Gyro-Polygons in Hyperbolic Space Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang

Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae Weilin Luo, Hai Wan, Pingjia Liang, Jianfeng Du, Bo Peng, Delong Zhang Learning Not to Learn: Nature versus Nurture in Silico Robert Tjarko Lange, Henning Sprekeler

Improving Local Search Algorithms via Probabilistic Configuration Checking Weilin Luo, Hai Wan, Rongzhen Ye, Shaowei Cai, Biqing Fang, Delong Zhang

REMOTE: Reinforced Motion Transformation Network for Semi-Supervised 2D Pose Estimation in Videos Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu

Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang

Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang

RRL: Regional Rotate Layer in Convolutional Neural Network Zongbo Hao, Tao Zhang, Mingwang Chen, Kaixu Zhou

Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

ER: Equivariance Regularizer for Knowledge Graph Completion Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan

Distribution Aware VoteNet for 3D Object Detection Junxiong Liang, Pei An, Jie Ma

Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen, Jianke Zhu

Universal and Tight Online Algorithms for Generalized-Mean Welfare Siddharth Barman, Arindam Khan, Arnab Maiti

Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang

H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang

Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval Tieying Li, Xiaochun Yang, Bin Wang, Chong Xi, Hanzhong Zheng, Xiangmin Zhou

Decentralized Mean Field Games Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart

Multi-Agent Incentive Communication via Decentralized Teammate Modeling Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Shimin Li, Hang Yan, Xipeng Qiu

Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra

SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, Binxing Fang

Self-Supervised Audio-and-Text Pre-Training with Extremely Low-Resource Parallel Data Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding

Search and Learn: Improving Semantic Coverage for Data-to-Text Generation Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou

CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition Qiangchang Wang, Guodong Guo

Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman

Pose-Guided Feature Disentangling for Occluded Person Re-Identification Based on Transformer Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi

Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, Heuiseok Lim

Scaling Up Influence Functions Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov

(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux

Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes Florent Delgrange, Ann Nowé, Guillermo A. Pérez

Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

Generalized Equivariance and Preferential Labeling for GNN Node Classification Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang

Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit Nikolai Karpov, Qin Zhang

DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song

Deep Graph Clustering via Dual Correlation ReductionYue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

The King is Naked: On the Notion of Robustness for Natural Language Processing Emanuele La Malfa, Marta Kwiatkowska

Reducing Flipping Errors in Deep Neural Networks Xiang Deng, Xiao Yun, Bo Long, Zhongfei Zhang

Diaformer: Automatic Diagnosis via Symptoms Sequence Generation Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu

PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval Praneeth Vepakomma, Julia Balla, Ramesh Raskar

Causal Discovery in Hawkes Processes by Minimum Description Length Amirkarsa Jalaldoust, Katerina Hlavackova-Schindler, Claudia Plant

Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification Zhenhailong Wang, Heng Ji

Cross-Task Knowledge Distillation in Multi-Task Recommendation Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen

Fast Monte-Carlo Approximation of the Attention Mechanism Hyunjun Kim, JeongGil Ko

Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao

Reasoning About Causal Models with Infinitely Many Variables Joseph Y. Halpern, Spencer Peters

Directed Graph Auto-Encoders Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie Lozano, Naoki Abe

Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam

Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network Yuqi Ren, Deyi Xiong

Pizza Sharing is PPA-Hard Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos

Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng

Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki

Playing Lottery Tickets with Vision and Language Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu Seizing Critical Learning Periods in Federated Learning Gang Yan, Hao Wang, Jian Li

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

TEACh: Task-Driven Embodied Agents that Chat Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gokhan Tur, Dilek Hakkani-Tur

Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker, Kavitha Srinivas

Learning Parameterized Task Structure for Generalization to Unseen Entities Anthony Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee

Two-Price Equilibrium Michal Feldman, Galia Shabtai, Aner Wolfenfeld

Fair and Efficient Allocations of Chores under Bivalued Preferences Jugal Garg, Aniket Murhekar, John Qin

ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition Zekai Chen, Xiao Zhang, Xiuzhen Cheng

Gradient Temporal Difference with Momentum: Stability and Convergence Rohan Deb, Shalabh Bhatnagar

Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers

Stochastic Goal Recognition Design Problems with Suboptimal Agents Christabel Wayllace, William Yeoh

Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems Frederik Baymler Mathiesen, Bin Yang, Jilin Hu

Worst-Case Voting When the Stakes are High Anson Kahng, Gregory Kehne

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling Yizhe Zhang, Siqi Sun, Yuwei Fang, Xiang Gao, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

Multi-Modal Answer Validation for Knowledge-Based VQA Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi

Dimensionality and Coordination in Voting: The Distortion of STV Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method Xiaoxia Wu, Simon Du, Yuege Xie, Rachel Ward

Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang

How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues Manon Revel, Tao Lin, Daniel Halpern

Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

LogicDef: An Interpretable Defense Framework Against Adversarial Examples via Inductive Scene Graph Reasoning Yuan Yang, James C Kerce, Faramarz Fekri

OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu

Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds Brendan Juba, Roni Stern

Active Sampling for Text Classification with Subinstance Level Queries Shayok Chakraborty, Ankita Singh

ValueNet: A New Dataset for Human Value Driven Dialogue System Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu

Temporal Knowledge Graph Completion Using Box Embeddings Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan

Semantic Feature Extraction for Generalized Zero-Shot Learning Junhan Kim, Kyuhong Shim, Byonghyo Shim

Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang

Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Online Missing Value Imputation and Change Point Detection with the Gaussian Copula Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell

Coordinating Momenta for Cross-Silo Federated Learning An Xu, Heng Huang

Equity Promotion in Online Resource Allocation Pan Xu, Yifan Xu

On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding

Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma

Natural Black-Box Adversarial Examples Against Deep Reinforcement Learning Mengran Yu, Shiliang Sun

CF-DETR: Coarse-to-Fine Transformers for End-to-End Object Detection Xipeng Cao, Peng Yuan, Bailan Feng, Kun Niu

Transmission-Guided Bayesian Generative Model for Smoke Segmentation Siyuan Yan, Jing Zhang, Nick Barnes

Unsupervised Deep Keyphrase Generation Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang

Undercover Boolean Matrix Factorization with MaxSAT Florent Avellaneda, Roger Villemaire

Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu, Chonggang Wang

Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies Abdullah Albanyan, Eduardo Blanco

Out of Distribution Data Detection Using Dropout Bayesian Neural Networks Andre T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

On the Transferability of Pre-Trained Language Models: A Study from Artificial Datasets Cheng-Han Chiang, Hung-yi Lee

Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics Sean Welleck, Peter West, Jize Cao, Yejin Choi

Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations Seunggyu Chang, Jungchan Cho, Songhwai Oh

Language Modelling via Learning to Rank Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz

Characterizing the Program Expressive Power of Existential Rule Languages Heng Zhang, Guifei Jiang

Identification of Linear Latent Variable Model with Arbitrary Distribution Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai

Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization Zi-Yi Dou, Nanyun (Violet) Peng Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions Yuanhong Wang, Timothy van Bremen, Yuyi Wang, Ondřej Kuželka

Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification Jian Han, Yali Li, Shengjin Wang

Graph Neural Controlled Differential Equations for Traffic Forecasting Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park

An Exact Algorithm with New Upper Bounds for the Maximum $k$-Defective Clique Problem in Massive Sparse Graphs Jian Gao, Zhenghang Xu, Ruizhi Li, Minghao Yin

An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks Haedong Jeong, Jiyeon Han, Jaesik Choi

Logic Rule Guided Attribution with Dynamic Ablation Jianqiao An, Yuandu Lai, Yahong Han

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld

SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang

KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas

I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin

Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang

Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction Chang-You Tai, Ming-Yao Li, Lun-Wei Ku

Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu

Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation Xiang Zhang, Wanqing Zhao, Hangzai Luo, Jinye Peng, Jianping Fan

EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation Shidi Li, Miaomiao Liu, Christian Walder

Multilingual Code Snippets Training for Program Translation Ming Zhu, Karthik Suresh, Chandan K. Reddy Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection Shuo Li, Fang Liu, Licheng Jiao

Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yi-Xuan Sun, Wei Wang

KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Neural Piecewise-Constant Delay Differential Equations Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin

Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim, Youngmoon Lee

Cross-Modal Coherence for Text-to-Image Retrieval Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone

Bayesian Optimization over Permutation Spaces Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim

Learning to Search in Local Branching Defeng Liu, Matteo Fischetti, Andrea Lodi

Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo

Goal Recognition as Reinforcement Learning Leonardo Amado, Reuth Mirsky, Felipe Meneguzzi

Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading Minsu Kim, Jeong Hun Yeo, Yong Man Ro

Elastic-Link for Binarized Neural Networks Jie Hu, Ziheng Wu, Vince Tan, Zhilin Lu, Mengze Zeng, Enhua Wu

Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin

Laneformer: Object-Aware Row-Column Transformers for Lane Detection Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang

Defending Graph Convolutional Networks Against Dynamic Graph Perturbations via Bayesian Self- Supervision Jun Zhuang, Mohammad Al Hasan DKPLM: Decomposable Knowledge-Enhanced Pre-Trained Language Model for Natural Language Understanding Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Chang Lu, Tian Han, Yue Ning

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization Zixing Song, Irwin King

BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen, Yulia R. Gel, H. Vincent Poor

FedProto: Federated Prototype Learning Across Heterogeneous Clients Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

CEM: Commonsense-Aware Empathetic Response Generation Sahand Sabour, Chujie Zheng, Minlie Huang

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha

Private Rank Aggregation in Central and Local Models Daniel Alabi, Badih Ghazi, Ravi Kumar, Pasin Manurangsi

MINIMAL: Mining Models for Universal Adversarial Triggers Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen

DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems Huan Xiong

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong

Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter Seiler, Ming Jin

TRF: Learning Kernels with Tuned Random Features Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Venkatesh, Svetha Venkatesh

KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification Lingfeng Shen, Shoushan Li, Ying Chen

Programmatic Reward Design by Example Weichao Zhou, Wenchao Li

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong, Hao Wang, Flavio P. Calmon

Attacking Video Recognition Models with Bullet-Screen CommentsKai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung

Context-Aware Transfer Attacks for Object Detection Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif

Hybrid Neural Networks for On-Device Directional Hearing Anran Wang, Maruchi Kim, Hao Zhang, Shyamnath Gollakota

Minimally-Supervised Joint Learning of Event Volitionality and Subject Animacy Classification Hirokazu Kiyomaru, Sadao Kurohashi

Forecasting Asset Dependencies to Reduce Portfolio Risk Haoren Zhu, Shih-Yang Liu, Pengfei Zhao, Yingying Chen, Dik Lun Lee

Analysis of Pure Literal Elimination Rule for Non-Uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution Oleksii Omelchenko, Andrei A. Bulatov

Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

Towards Robust Off-Policy Learning for Runtime Uncertainty Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang

Interactive Image Generation with Natural-Language Feedback Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun

Iterative Contrast-Classify for Semi-Supervised Temporal Action Segmentation Dipika Singhania, Rahul Rahaman, Angela Yao

Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints Niku Gorji, Sasha Rubin

DCAN: Improving Temporal Action Detection via Dual Context Aggregation Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu

Faster Algorithms for Weak Backdoors Serge Gaspers, Andrew Kaploun

Truthful and Fair Mechanisms for Matroid-Rank Valuations Siddharth Barman, Paritosh Verma

The Price of Justified Representation Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong

Inductive Relation Prediction by BERT Hanwen Zha, Zhiyu Chen, Xifeng Yan

Non-Parametric Online Learning from Human Feedback for Neural Machine TranslationDongqi Wang, Haoran Wei, Zhirui Zhang, Shujian Huang, Jun Xie, Jiajun Chen

A Unified Framework for Real Time Motion Completion Yinglin Duan, Yue Lin, Zhengxia Zou, Yi Yuan, Zhehui Qian, Bohan Zhang

Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu

Uncertainty Modeling with Second-Order Transformer for Group Re-Identification Quan Zhang, Jianhuang Lai, Zhanxiang Feng, Xiaohua Xie

Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang

Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction Guoliang Zhao, Yuxun Zhou, Zhanbo Xu, Yadong Zhou, Jiang Wu

Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu

Deconvolutional Density Network: Modeling Free-Form Conditional Distributions Bing Chen, Mazharul Islam, Jisuo Gao, Lin Wang

Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill

Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li

Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan

Explainable and Local Correction of Classification Models Using Decision Trees Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara

Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching Xin Liu, Yangqiu Song

GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks Jie Wu, Ian G. Harris, Hongzhi Zhao

Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi

Truthful Aggregation of Budget Proposals with Proportionality Guarantees Ioannis Caragiannis, George Christodoulou, Nicos Protopapas

Frequency-Aware Contrastive Learning for Neural Machine Translation Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao Sequence Level Contrastive Learning for Text Summarization Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei

Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison

Information-Theoretic Bias Reduction via Causal View of Spurious Correlation Seonguk Seo, Joon-Young Lee, Bohyung Han

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu

Orthogonal Graph Neural Networks Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He

Procedural Text Understanding via Scene-Wise Evolution Jialong Tang, Hongyu Lin, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun, Weijian Xie, Jin Xu

Conditional Abstract Dialectical Frameworks Jesse Heyninck, Matthias Thimm, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba

A Fast Algorithm for PAC Combinatorial Pure Exploration Noa Ben-David, Sivan Sabato

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li

Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu

Hedonic Diversity Games: A Complexity Picture with More than Two Colors Robert Ganian, Thekla Hamm, Dušan Knop, Šimon Schierreich, Ondřej Suchý

Liquid Democracy with Ranked Delegations Markus Brill, Théo Delemazure, Anne-Marie George, Martin Lackner, Ulrike Schmidt-Kraepelin

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu

DeepStochLog: Neural Stochastic Logic Programming Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt

MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery ProblemsZefang Zong, Meng Zheng, Yong Li, Depeng Jin

Improving 360 Monocular Depth Estimation via Non-Local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning Ilwi Yun, Hyuk-Jae Lee, Chae Eun Rhee

How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar

SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro

Individual Representation in Approval-Based Committee Voting Markus Brill, Jonas Israel, Evi Micha, Jannik Peters

Can Vision Transformers Learn without Natural Images? Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

A Computable Definition of the Spectral Bias Jonas Kiessling, Filip Thor

Guide Local Feature Matching by Overlap Estimation Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu

The Complexity of Learning Approval-Based Multiwinner Voting Rules Ioannis Caragiannis, Karl Fehrs

Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models Tien Mai, Arunesh Sinha

Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein

Learning to Identify Top Elo Ratings with A Dueling Bandits Approach Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

Algorithmic Concept-Based Explainable Reasoning Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Veličković, Pietro Lió

Formal Semantics and Formally Verified Validation for Temporal Planning Mohammad Abdulaziz, Lukas Koller

Linearity-Aware Subspace Clustering Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian Online Elicitation of Necessarily Optimal Matchings Jannik Peters

A Fusion-Denoising Attack on InstaHide with Data Augmentation Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi

Incomplete Argumentation Frameworks: Properties and Complexity Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

Attribute-based Progressive Fusion Network for RGBT Tracking Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang

TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

Deep Clustering of Text Representations for Supervision-Free Probing of Syntax Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan

Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance João P. B. Pereira, Erik S.G. Stroes, Aeilko H. Zwinderman, Evgeni Levin

ApproxASP - A Scalable Approximate Answer Set Counter Mohimenul Kabir, Flavio Everardo, Ankit Shukla, Markus Hecher, Johannes K. Fichte, Kuldeep Meel

GNN-Retro: Retrosynthetic Planning with Graph Neural Networks Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation Thong Nguyen, Luu Anh Tuan

Random Mapping Method for Large-Scale Terrain Modeling Xu Liu, Decai Li, Yuqing He

ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization Zichen Yang, Jie Qin, Di Huang

Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen

Interpretable Generative Adversarial Networks Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang

Estimation of Local Average Treatment Effect by Data Combination Kazuhiko Shinoda, Takahiro Hoshino

Probing Word Syntactic Representations in the Brain by a Feature Elimination Method Xiaohan Zhang, Shaonan Wang, Nan Lin, Jiajun Zhang, Chengqing Zong Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaiane

Equal Bits: Enforcing Equally Distributed Binary Network Weights Yunqiang Li, Silvia L. Pintea, Jan C. van Gemert

Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu

MLink: Linking Black-Box Models for Collaborative Multi-Model Inference Mu Yuan, Lan Zhang, Xiang-Yang Li

TrustAL: Trustworthy Active Learning Using Knowledge Distillation Beong-Woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-Won Hwang, Jinyoung Yeo

Dual Task Framework for Improving Persona-Grounded Dialogue Dataset Minju Kim, Beong-Woo Kwak, Youngwook Kim, Hong-In Lee, Seung-Won Hwang, Jinyoung Yeo

Almost Full EFX Exists for Four Agents Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat

Handling Slice Permutations Variability in Tensor Recovery Jingjing Zheng, Xiaoqin Zhang, Wenzhe Wang, Xianta Jiang

OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong

Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering Mingxiao Li, Marie-Francine Moens

Curiosity-Driven Exploration via Latent Bayesian Surprise Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt

Learning Robust Policy Against Disturbance in Transition Dynamics via State-Conservative Policy Optimization Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

End-to-End Transformer Based Model for Image Captioning Yiyu Wang, Jungang Xu, Yingfei Sun

DetIE: Multilingual Open Information Extraction Inspired by Object Detection Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey Nikolenko

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao

FedInv: Byzantine-Robust Federated Learning by Inversing Local Model UpdatesBo Zhao, Peng Sun, Tao Wang, Keyu Jiang

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou

GEQCA: Generic Qualitative Constraint Acquisition Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning Roy Zohar, Shie Mannor, Guy Tennenholtz

When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism Guangting Wang, Yucheng Zhao, Chuanxin Tang, Chong Luo, Wenjun Zeng

Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

Controlling Underestimation Bias in Reinforcement Learning via Quasi-Median Operation Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li

The Complexity of Temporal Vertex Cover in Small-Degree Graphs Thekla Hamm, Nina Klobas, George B. Mertzios, Paul G. Spirakis

Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen

Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing-Yin Yu

A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su

Entropy Estimation via Normalizing Flow Ziqiao Ao, Jinglai Li

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang

ASP-Based Declarative Process Mining Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi

Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization Zhe Chen, Wenhai Wang, Enze Xie, Tong Lu, Ping Luo

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang Knowledge Bridging for Empathetic Dialogue Generation Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen

Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen, Bart Selman, Daniel D. Lee

Imbalance-Aware Uplift Modeling for Observational Data Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

A Divide and Conquer Algorithm for Predict+Optimize with Non-Convex Problems Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey

Exploring Relational Semantics for Inductive Knowledge Graph Completion Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha

DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory Mengshi Ge, Rui Mao, Erik Cambria

Approval-Based Committee Voting under Incomplete Information Aviram Imber, Jonas Israel, Markus Brill, Benny Kimelfeld

The FF Heuristic for Lifted Classical Planning Augusto B. Corrêa, Florian Pommerening, Malte Helmert, Guillem Francès

LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li

Rendering-Aware HDR Environment Map Prediction From a Single Image Jun-Peng Xu, Chen-Yu Zuo, Fang-Lue Zhang, Miao Wang

Is Discourse Role Important for Emotion Recognition in Conversation? Donovan Ong, Jian Su, Bin Chen, Anh Tuan Luu, Ashok Narendranath, Yue Li, Shuqi Sun, Yingzhan Lin, Haifeng Wang

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu

Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions Brian Hu Zhang, Tuomas Sandholm

SAIL: Self-Augmented Graph Contrastive Learning Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval Jialin Tian, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen

Monotone Abstractions in Ontology-Based Data Management Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Varun Jampani, R. Venkatesh Babu

Reinforcement Learning based Dynamic Model Combination for Time Series Forecasting Yuwei Fu, Di Wu, Benoit Boulet

On Testing for Discrimination Using Causal Models Hana Chockler, Joseph Y. Halpern

Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation Alexander Long, Alan Blair, Herke van Hoof

Unsupervised Editing for Counterfactual Stories Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li

Characterization of Incentive Compatibility of an Ex-Ante Constrained Player Bonan Ni, Pingzhong Tang

The Complexity of Proportionality Degree in Committee Elections Łukasz Janeczko, Piotr Faliszewski

Polygon-to-Polygon Distance Loss for Rotated Object Detection Yang Yang, Jifeng Chen, Xiaopin Zhong, Yuanlong Deng

TransFG: A Transformer Architecture for Fine-Grained Recognition Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang

On Probabilistic Generalization of Backdoors in Boolean Satisfiability Alexander Semenov, Artem Pavlenko, Daniil Chivilikhin, Stepan Kochemazov

StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts Zhengxiang Shi, Qiang Zhang, Aldo Lipani

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang

Transfer Learning for Color Constancy via Statistic Perspective Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming

A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes Honghao Wei, Xin Liu, Lei Ying

Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing

Admissible Policy Teaching through Reward Design Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic

Enhancing Counterfactual Classification Performance via Self-Training Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification Hazel Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill

Large-Neighbourhood Search for Optimisation in Answer-Set Solving Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Daria Stepanova

Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning Thilini Cooray, Ngai-Man Cheung

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi

Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics Pierre Gillot, Pekka Parviainen

Dynamic Manifold Learning for Land Deformation Forecasting Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye

Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping Stefan Panjkovic, Andrea Micheli, Alessandro Cimatti

Truth-Tracking via Approval Voting: Size Matters Tahar Allouche, Jerome Lang, Florian Yger

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Conjugated Discrete Distributions for Distributional Reinforcement Learning Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl

Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim

Learning by Competition of Self-Interested Reinforcement Learning Agents Stephen Chung

Online Search with Best-Price and Query-Based Predictions Spyros Angelopoulos, Shahin Kamali, Dehou Zhang

A Little Charity Guarantees Fair Connected Graph PartitioningIoannis Caragiannis, Evi Micha, Nisarg Shah

Teaching Humans When to Defer to a Classifier via Exemplars Hussein Mozannar, Arvind Satyanarayan, David Sontag

Mitigating Reporting Bias in Semi-Supervised Temporal Commonsense Inference with Probabilistic Soft Logic Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu

Towards Off-Policy Learning for Ranking Policies with Logged Feedback Teng Xiao, Suhang Wang

Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-Identification Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Qian Wang, Fengfan Zhou

Learning from Mistakes - A Framework for Neural Architecture Search Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric Xing, Pengtao Xie

Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel

Enforcement Heuristics for Argumentation with Deep Reinforcement Learning Dennis Craandijk, Floris Bex

Efficient Encoding of Cost Optimal Delete-Free Planning as SAT Masood Feyzbakhsh Rankooh, Jussi Rintanen

The Complexity of Subelection Isomorphism Problems Piotr Faliszewski, Krzysztof Sornat, Stanisław Szufa

Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory Jung Uk Kim, Sungjune Park, Yong Man Ro

Graph Pointer Neural Networks Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

TS2Vec: Towards Universal Representation of Time Series Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text Amrita Saha, Shafiq Joty, Steven Hoi

Machine Learning for Online Algorithm Selection under Censored Feedback Alexander Tornede, Viktor Bengs, Eyke Hüllermeier

fGOT: Graph Distances based on Filters and Optimal Transport Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard

How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild P A M Casares, Bao Sheng Loe, John Burden, Sean hEigeartaigh, José Hernández-Orallo

Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning Wachirawit Ponghiran, Kaushik Roy Backdoor Attacks on the DNN Interpretation System Shihong Fang, Anna Choromanska

Predicting Physical World Destinations for Commands Given to Self-Driving Cars Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew Blaschko

When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty Fernando Martínez-Plumed, David Castellano-Falcón, Carlos Monserrat, José Hernández-Orallo

Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search Animesh Sinha, Utkarsh Azad, Harjinder Singh

Tractable Abstract Argumentation via Backdoor-Treewidth Wolfgang Dvořak, Markus Hecher, Matthias König, André Schidler, Stefan Szeider, Stefan Woltran

Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination Masood Feyzbakhsh Rankooh, Jussi Rintanen

Synthesis from Satisficing and Temporal Goals Suguman Bansal, Lydia Kavraki, Moshe Y. Vardi, Andrew Wells

GoTube: Scalable Statistical Verification of Continuous-Depth Models Sophie Gruenbacher, Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A Henzinger, Scott A. Smolka, Radu Grosu

Robust Optimal Classification Trees Against Adversarial Examples Daniël Vos, Sicco Verwer

Safe Subgame Resolving for Extensive Form Correlated Equilibrium Chun Kai Ling, Fei Fang

Bounding Quality in Diverse Planning Michael Katz, Shirin Sohrabi, Octavian Udrea

TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition Changjie Wu, Jun Du, Yunqing Li, Jianshu Zhang, Chen Yang, Bo Ren, Yiqing Hu

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander Gray

The SoftCumulative Constraint with Quadratic Penalty Yanick Ouellet, Claude-Guy Quimper

Signaling in Posted Price Auctions Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti

ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha

Multi-Leader Congestion Games with an AdversaryTobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu

A Search and Bound-Sensitive Heuristics for Oversubscription Planning* Michael Katz, Emil Keyder

Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye, Adrian G. Bors

Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting Keyi Chen, John Langford, Francesco Orabona

JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel Mckenzie, Stanley Osher, Wotao Yin

Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish Hota

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim

CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang

When Can the Defender Effectively Deceive Attackers in Security Games? Thanh Nguyen, Haifeng Xu

Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods Xin Guo, Anran Hu, Junzi Zhang

Planning with Biological Neurons and Synapses Francesco d'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou

Formula Synthesis in Propositional Dynamic Logic with Shuffle Sophie Pinchinat, Sasha Rubin, François Schwarzentruber

On Causally Disentangled Representations Abbavaram Gowtham Reddy, Benin Godfrey, Vineeth N Balasubramanian

Context-Based Contrastive Learning for Scene Text Recognition Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu

Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer- Conditioned Neural Fields Benjamin Wu, Benjamin Eckart, Chao Liu, Jan Kautz Differentially Describing Groups of Graphs Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

Expressivity of Planning with Horn Description Logic Ontologies Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel, Marcel Steinmetz

Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür

Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao

LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition Jiarui Cai, Yizhou Wang, Hung-Min Hsu, Jenq-Neng Hwang, Kelsey Magrane, Craig Rose

Policy Optimization with Stochastic Mirror Descent Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan

Efficiency of Ad Auctions with Price Displaying Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano

Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models Sahil Verma, Keegan Hines, John P. Dickerson

Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs Berkeley Andrus, Yeganeh Nasiri, Jay Cui, Ben Cullen, Nancy Fulda

Unit Selection with Causal Diagram Ang Li, Judea Pearl

Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Bounds on Causal Effects and Application to High Dimensional Data Ang Li, Judea Pearl

Compilation of Aggregates in ASP Systems Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro

Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information Janis Kalofolias, Jilles Vreeken

Answering Queries with Negation over Existential Rules Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke

Combating Collusion Rings is Hard but Possible Niclas Boehmer, Robert Bredereck, André Nichterlein Rushing and Strolling among Answer Sets - Navigation Made Easy Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac

Zero-Shot Out-of-Distribution Detection Based on the Pre-Trained Model CLIP Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu

Decompose the Sounds and Pixels, Recompose the Events Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu

Learning from the Tangram to Solve Mini Visual Tasks Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu

ErfAct and Pserf: Non-Monotonic Smooth Trainable Activation Functions Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

The Metric Distortion of Multiwinner Voting Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris

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Chess as a Testbed for Language Model State Tracking Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel

EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty

Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing Bing Han, Cheng Wang, Kaushik Roy

Language Model Priming for Cross-Lingual Event Extraction Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee

Subset Approximation of Pareto Regions with Bi-Objective A* Jorge A. Baier, Carlos Hernández, Nicolás Rivera

Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube Garrett E. Katz, Naveed Tahir

6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin

Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera

LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents Shounak Paul, Pawan Goyal, Saptarshi Ghosh

An Axiomatic Approach to Revising Preferences Adrian Haret, Johannes P. Wallner First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics David Toman, Grant Weddell

FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan, Carlee Joe-Wong

Equivalence in Argumentation Frameworks with a Claim-Centric View – Classical Results with Novel Ingredients Ringo Baumann, Anna Rapberger, Markus Ulbricht

Cross-Lingual Adversarial Domain Adaptation for Novice Programming Ye Mao, Farzaneh Khoshnevisan, Thomas Price, Tiffany Barnes, Min Chi

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Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation Patrick Huber, Linzi Xing, Giuseppe Carenini

Inconsistent Planning: When in Doubt, Toss a Coin! Yuriy Dementiev, Fedor V. Fomin, Artur Ignatiev

Safe Online Convex Optimization with Unknown Linear Safety Constraints Sapana Chaudhary, Dileep Kalathil

CTIN: Robust Contextual Transformer Network for Inertial Navigation Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M Shila, Frank M. Tucker, Liqiang Wang

NICE: Robust Scheduling through Reinfrocement Learning-Guided Integer Programming Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan

Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates Dan Ley, Umang Bhatt, Adrian Weller

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson

Stability Verification in Stochastic Control Systems via Neural Network Supermartingales Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee, Thomas A. Henzinger

Constraint-Driven Explanations for Black-Box ML Models Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S. Meel, Joao Marques-Silva, Moshe Y. Vardi

Learning to Transfer with von Neumann Conditional Divergence Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu, Masoud Hashemi, Christopher Srinivasa

Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving Inhan Kim, Joonyeong Lee, Daijin Kim Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-Optimal Demonstrations Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu, Shiqi Zhang

Using Conditional Independence for Belief Revision Matthew James Lynn, James P. Delgrande, Pavlos Peppas

CAISE: Conversational Agent for Image Search and Editing Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal

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ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin

AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-Identification Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid

Deceptive Decision-Making under Uncertainty Yagiz Savas, Christos K. Verginis, Ufuk Topcu

CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan Oseledets

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Tractable Explanations for d-DNNF Classifiers Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C Cooper, Nicholas Asher, Joao Marques-Silva

STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach Sveva Pepe, Edoardo Barba, Rexhina Blloshmi, Roberto Navigli

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From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiusing Lau, Qun Liu

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Planning to Avoid Side Effects Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu

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Incorporating Item Frequency for Differentially Private Set Union Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara

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DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events Tyler Wilson, Pang-Ning Tan, Lifeng Luo

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A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner

Differential Assessment of Black-Box AI Agents Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava

Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian

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Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems Wenkang Zhan, Gang Wu, Hongchang Gao

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Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

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Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability Kyle Richardson, Ashish Sabharwal

Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

Learning Human Driving Behaviors with Sequential Causal Imitation Learning Kangrui Ruan, Xuan Di

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Robust Heterogeneous Graph Neural Networks against Adversarial Attacks Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou

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First-Order Convex Fitting and Its Application to Economics and Optimization Quinlan Dawkins, Minbiao Han, Haifeng Xu

Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement Kailun Luo, Yongmei Liu

An Algorithmic Introduction to Savings Circles Rediet Abebe, Adam Eck, Christian Ikeokwu, Samuel Taggart Transformer with Memory Replay Rui Liu, Barzan Mozafari

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Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang

Local and Global Convergence of General Burer-Monteiro Tensor Optimizations Shuang Li, Qiuwei Li

Unsupervised Anomaly Detection by Robust Density Estimation Boyang Liu, Pang-Ning Tan, Jiayu Zhou

The Strange Role of Information Asymmetry in Auctions --- Does More Accurate Value Estimation Benefit A Bidder? Haifeng Xu, Ruggiero Cavallo

Learning Losses for Strategic Classification Tosca Lechner, Ruth Urner

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MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avi Sil, Shih-Fu Chang, Alexander Schwing, Heng Ji

Geometry Interaction Knowledge Graph Embeddings Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Heterogeneous Peer Effects in the Linear Threshold Model Christopher Tran, Elena Zheleva

Probing Linguistic Information for Logical Inference In Pre-Trained Language Models Zeming Chen, Qiyue Gao

Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations. Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha

FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai

Conditional Generative Model Based Predicate-Aware Query Approximation Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup Rao, Vikas Maddukuri Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs Siow Meng Low, Akshat Kumar, Scott Sanner

SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, Lei Bai, Ziwei Liu, Wanli Ouyang

Subspace Differential Privacy Jie Gao, Ruobin Gong, Fang-Yi Yu

A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues Qian Lin, Hwee Tou Ng

Classifying Emails into Human vs Machine Category Changsung Kang, Hongwei Shang, Jean-Marc Langlois

SplitFed: When Federated Learning Meets Split Learning Chandra Thapa, M.A.P. Chamikara , Seyit Camtepe, Lichao Sun

VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models Robert Wolfe, Aylin Caliskan

Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences Vinayak Gupta, Srikanta Bedathur, Abir De

SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu

A Nested Bi-Level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh Iyer

Trusted Multi-View Deep Learning with Opinion Aggregation Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang

STEM: Unsupervised STructural EMbedding for Stance Detection Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, Oren Tsur

Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park, Hajin Shim, Eunho Yang

Top-Down Deep Clustering with Multi-Generator GANs Daniel de Mello, Renato Assunção, Fabricio Murai

HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria

C2L: Causally Contrastive Learning for Robust Text Classification Seungtaek Choi, Myeongho Jeong, Hojae Han, Seung-won Hwang Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian

Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects Bianca Scarlini, Tommaso Pasini, Roberto Navigli

Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation Alexis de Colnet, Stefan Mengel

Efficient Device Scheduling with Multi-Job Federated Learning Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

A Variant of Concurrent Constraint Programming on GPU Pierre Talbot, Frédéric Pinel, Pascal Bouvry

Nice Perfume. How Long did You Marinate in It? Multimodal Sarcasm Explanation Poorav Desai, Tanmoy Chakraborty, Md Shad Akhtar

GALAXY: A Generative Pre-Trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li

Unsupervised Adversarially Robust Representation Learning on Graphs Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun

Interpretable Neural Subgraph Matching for Graph Retrieval Indradyumna Roy, Venkata Sai Velugoti, Soumen Chakrabarti, Abir De

Distributed Randomized Sketching Kernel Learning Rong Yin, Yong Liu, Dan Meng

Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

Fixation Maximization in the Positional Moran Process Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger Ullersted Rasmussen, Josef Tkadlec

Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective. Emmanuelle Salin, Badreddine Farah, Stéphane Ayache, Benoit Favre

Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier Youngjo Lee, Hongje Seong, Euntai Kim

Multi-Scale Distillation from Multiple Graph Neural Networks Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang

Synthetic Disinformation Attacks on Automated Fact Verification Systems Yibing Du, Antoine Bosselut, Christopher D. Manning

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou Online Task Assignment Problems with Reusable Resources Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross- Sectional Stock Returns Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li

HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi

No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park

Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation Jicong Fan

Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation Nicholas Egan, Oleg Vasilyev, John Bohannon

Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic Paolo Felli, Marco Montali, Sarah Winkler

Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs Ezgi Korkmaz

Random Tensor Theory for Tensor Decomposition Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau

Modification-Fair Cluster Editing Vincent Froese, Leon Kellerhals, Rolf Niedermeier

Using MaxSAT for Efficient Explanations of Tree Ensembles Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva

CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems Fei Mi, Yasheng Wang, Yitong Li

An Online Learning Approach to Sequential User-Centric Selection Problems Junpu Chen, Hong Xie

Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees Christopher Leet, Jiaoyang Li, Sven Koenig

Transcoded Video Restoration by Temporal Spatial Auxiliary Network Xu Li, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai

What About Inputing Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang Towards Fine-Grained Reasoning for Fake News Detection Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie

Hybrid Curriculum Learning for Emotion Recognition in Conversation Lin Yang, Yi Shen, Yue Mao, LongJun Cai

Learning to Solve Routing Problems via Distributionally Robust Optimization Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

Visual Consensus Modeling for Video-Text Retrieval Shuqiang Cao, Bairui Wang, Wei Zhang, Lin Ma

Towards Building ASR Systems for the Next Billion Users Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra

Adversarial Bone Length Attack on Action Recognition Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto

Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis Patrick Rodler

Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi

Towards Debiasing DNN Models from Spurious Feature Influence Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu

With False Friends Like These, Who Can Notice Mistakes? Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

Implicit Gradient Alignment in Distributed and Federated Learning Yatin Dandi, Luis Barba, Martin Jaggi

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe

Optimization for Classical Machine Learning Problems on the GPU Sören Laue, Mark Blacher, Joachim Giesen

DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang

Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel $k$-Means, and Heat Kernel Shota Saito

Planning with Participation Constraints Hanrui Zhang, Yu Cheng, Vincent Conitzer

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou, Serena Booth, Marco Tulio Ribeiro, Julie Shah

Improved Gradient Based Adversarial Attacks for Quantized Networks Kartik Gupta, Thalaiyasingam Ajanthan

Clustering Interval-Censored Time-Series for Disease Phenotyping Irene Y. Chen, Rahul G. Krishnan, David Sontag

A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback Semih Cayci, Yilin Zheng, Atilla Eryilmaz

Constrained Prescriptive Trees via Column Generation Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl

Efficient Continuous Control with Double Actors and Regularized Critics Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li

Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data Yan Li, Rui Xia, Chunchen Liu, Liang Sun

Deformable Graph Convolutional Networks Jinyoung Park, Sungdong Yoo, JIhwan Park, Hyunwoo J. Kim

AutoBERT-Zero: Evolving BERT Backbone from Scratch Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen

Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu, Dong Eui Chang

DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel

Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint Peng Zhai, Jie Luo, Zhiyan Dong, Lihua Zhang, Shunli Wang, Dingkang Yang

Partial Wasserstein Covering Keisuke Kawano, Satoshi Koide, Keisuke Otaki

Unsupervised Reinforcement Learning in Multiple Environments Mirco Mutti, Mattia Mancassola, Marcello Restelli

Bayesian Persuasion in Sequential Decision-Making Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

Learning Influence Adoption in Heterogeneous Networks Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang Reverse Differentiation via Predictive Coding Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model Cheng Chen, Canzhe Zhao, Shuai Li

Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis

Group-Aware Threshold Adaptation for Fair Classification Taeuk Jang, Pengyi Shi, Xiaoqian Wang

An Experimental Design Approach for Regret Minimization in Logistic Bandits Blake Mason, Kwang-Sung Jun, Lalit Jain

How Good Are Low-Rank Approximations in Gaussian Process Regression? Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos

Label Hallucination for Few-Shot Classification Yiren Jian, Lorenzo Torresani

Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang

Online Apprenticeship Learning Lior Shani, Tom Zahavy, Shie Mannor

A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications Yun-Hao Cao, Jianxin Wu

Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury, Xingyu Zhou

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff Bilmes, Rishabh Iyer

Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi

Less is More: Pay Less Attention in Vision Transformers Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai

Text Revision by On-the-Fly Representation Optimization Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu

On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf

Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity Lorenzo Perini, Vincent Vercruyssen, Jesse Davis DeformRS: Certifying Input Deformations with Randomized Smoothing Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem

Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning Giseung Park, Sungho Choi, Youngchul Sung

Task-Customized Self-Supervised Pre-Training with Scalable Dynamic Routing Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

Robust Action Gap Increasing with Clipped Advantage Learning Zhe Zhang, Yaozhong Gan, Xiaoyang Tan

Exploring Safer Behaviors for Deep Reinforcement Learning Enrico Marchesini, Davide Corsi, Alessandro Farinelli

Trading Complexity for Sparsity in Random Forest Explanations Gilles Audemard, Steve Bellart, Lounès Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems Yingjie Bi, Haixiang Zhang, Javad Lavaei

Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao

Zeroth-Order Optimization for Composite Problems with Functional Constraints Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu

Learning Advanced Client Selection Strategy for Federated Learning Sai Qian Zhang, Jieyu Lin, Qi Zhang

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks

Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units Kenny Young

Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang

Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu

Local Differential Privacy for Belief Functions Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu

Sublinear Time Approximation of Text Similarity Matrices Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco

Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent SubnetworksTim Whitaker, Darrell Whitley

Equilibrium Finding in Matrix Games Via Greedy Regret Minimization Hugh Zhang, Adam Lerer, Noam Brown

Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel

Efficient Algorithms for General Isotone Optimization Xiwen Wang, Jiaxi Ying, José Vinícius de M. Cardoso , Daniel P. Palomar

Spatial Frequency Bias in Convolutional Generative Adversarial Networks Mahyar Khayatkhoei, Ahmed Elgammal

Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling Sokbae Lee, Myung Hwan Seo, Yuan Liao, Youngki Shin

The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar

Learning Network Architecture for Open-Set Recognition Xuelin Zhang, Xuelian Cheng, Donghao Zhang, Paul Bonnington, Zongyuan Ge

Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito Palmes, Adi Botea

Boosting Active Learning via Improving Test Performance Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang

Improving Scene Graph Classification by Exploiting Knowledge from Texts Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp

Learning Adversarial Markov Decision Processes with Delayed Feedback Tal Lancewicki, Aviv Rosenberg, Yishay Mansour

Locally Private $k$-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error Anamay Chaturvedi, Matthew Jones, Huy Lê Nguyễn

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies Parikshit Ram, Kaushik Sinha

Optimal Tensor Transport Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban

Robustification of Online Graph Exploration Methods Franziska Eberle, Alexander Lindermayr, Nicole Megow, Lukas Nölke, Jens Schlöter

Smoothing Advantage LearningYaozhong Gan, Zhe Zhang, Xiaoyang Tan

Learning-Augmented Algorithms for Online Steiner Tree Chenyang Xu, Benjamin Moseley

Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist

Adaptive Pairwise Weights for Temporal Credit Assignment Zeyu Zheng, Risto Vuorio, Richard Lewis, Satinder Singh

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks Yijie Guo, Qiucheng Wu, Honglak Lee

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt

Optimistic Initialization for Exploration in Continuous Control Samuel Lobel, Omer Gottesman, Cam Allen, Akhil Bagaria, George Konidaris

An Adversarial Framework for Generating Unseen Images by Activation Maximization Yang Zhang, Wang Zhou, Gaoyuan Zhang, David Cox, Shiyu Chang

A Complete Criterion for Value of Information in Soluble Influence Diagrams Chris van Merwijk, Ryan Carey, Tom Everitt

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training Estelle Massart, Vinayak Abrol

VACA: Designing Variational Graph Autoencoders for Causal Queries Pablo Sanchez-Martin, Miriam Rateike, Isabel Valera

Sparsification of Decomposable Submodular Functions Akbar Rafiey, Yuichi Yoshida

Latent Time Neural Ordinary Differential Equations Srinivas Anumasa, P. K. Srijith

Conditional Loss and Deep Euler Scheme for Time Series Generation Carl Remlinger, Joseph Mikael, Romuald Elie

Learning Expected Emphatic Traces for Deep RL Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt

The Semi-Random Likelihood of Doctrinal Paradoxes Ao Liu, Lirong Xia Feature Importance Explanations for Temporal Black-Box Models Akshay Sood, Mark Craven

Graph Filtration Kernels Till H. Schulz, Pascal Welke, Stefan Wrobel

Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs Chunpai Wang, Daniel B. Neill, Feng Chen

Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback Junxiong Wang, Debabrota Basu, Immanuel Trummer

Beyond GNNs: An Efficient Architecture for Graph Problems Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi

Inferring Lexicographically-Ordered Rewards from Preferences Alihan Hüyük, William R. Zame, Mihaela van der Schaar

MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers Elias B. Khalil, Christopher Morris, Andrea Lodi

Fourier Representations for Black-Box Optimization over Categorical Variables Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das

iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

The Perils of Learning Before Optimizing Chris Cameron, Jason Hartford, Taylor Lundy, Kevin Leyton-Brown

Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti

RareGAN: Generating Samples for Rare Classes Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

Achieving Counterfactual Fairness for Causal Bandit Wen Huang, Lu Zhang, Xintao Wu

Learning Bayesian Networks in the Presence of Structural Side Information Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

Improving Biomedical Information Retrieval with Neural Retrievers Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral

Recovering The Propensity Score From Biased Positive Unlabeled DataWalter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner

On Optimizing Interventions in Shared Autonomy Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H M Sajjad Hossain, Yash Chandak

Max-Margin Contrastive Learning Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh

Learning the Optimal Recommendation from Explorative Users Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Distributed Learning with Strategic Users: A Repeated Game Approach Abdullah Basar Akbay, Junshan Zhang

Frozen Pretrained Transformers as Universal Computation Engines Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato

Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer

A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions Anthony GX-Chen, Veronica Chelu, Blake A. Richards , Joelle Pineau

Similarity Search for Efficient Active Learning and Search of Rare Concepts Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

Well-Classified Examples are Underestimated in Classification with Deep Neural Networks Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun

KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi

Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala, Marielle Stoelinga

Solving PDE-Constrained Control Problems using Operator LearningRakhoon Hwang, Jae Yong Lee, Jin Young Shin, Hyung Ju Hwang

NoiseGrad — Enhancing Explanationsby Introducing Stochasticity to Model Weights Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne

Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes Guillermo Infante, Anders Jonsson, Vicenç Gómez

Reward-Weighted Regression Converges to a Global Optimum Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model Xin Qiu, Risto MiikkulainenSpecial Track on AI for Social Impact

DevianceNet: Learning to Predict Deviance from A Large-Scale Geo-Tagged Dataset Jin-Hwi Park, Young-Jae Park, Junoh Lee, Hae-Gon Jeon

Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck, Tim Räz

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection Sungwon Park, Sundong Kim, Meeyoung Cha

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David Doermann, Arun Innanje

Longitudinal Fairness with Censorship Wenbin Zhang, Jeremy C. Weiss

COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee

DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li, Jintao Li

ChildrEN SafEty and Rescue (CENSER) System for Trafficked Children from Brothels in India Raghu Vamshi Hemadri, Amarjot Singh, Ajeet Singh

Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova

IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David Lobell, Stefano Ermon

Bayesian Optimisation for Active Monitoring of Air Pollution Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

Investigations of Performance and Bias in Human-AI Teamwork in Hiring Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar

Learning Economic Indicators by Aggregating Multi-Level Geospatial Information Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha

Fair Conformal Predictors for Applications in Medical Imaging Charles Lu, Andreanne Lemay, Ken Chang, Kathi Hoebel, Jayashree Kalpathy-Cramer

Transcribing Natural Languages for The Deaf via Neural Editing ProgramsDongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li

Deep Movement Primitives: Toward Breast Cancer Examination Robot Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. Lopez-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.

Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features Muhammad Sarmad, Mishal Fatima, Jawad Tayyub

CODE: Contrastive Pre-Training with Adversarial Fine-Tuning for Zero-Shot Expert Linking Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang

Optimal Local Explainer Aggregation for Interpretable Prediction Qiaomei Li, Rachel Cummings, Yonatan Mintz

Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data Hari Prasanna Das , Ryan Tran, Japjot Singh, Xiangyu Yue, Geoff Tison, Alberto Sangiovanni-Vincentelli, Costas J. Spanos

A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav Marathe

D-Vlog: Multimodal Vlog Dataset for Depression Detection Jeewoo Yoon, Chaewon Kang, Seungbae Kim, Jinyoung Han

Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang

Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe

Personalized Public Policy Analysis In Social Sciences Using Causal-Graphical Normalizing Flows Sourabh Balgi, Jose M. Peña, Adel Daoud

Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning Xiangrui Cai, Jinsheng Tao, Shichao Wang, Zhiyu Wang, Jiaxian Wang, Mei Li, Hong Wang, Xixiang Tu, Hao Yang, Jian-Bing Fan, Hua Ji

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou Sentence Simplification Capabilities of Transfer-Based Models Sanja Štajner, Kim Cheng Sheang, Horacio Saggion

Unmasking the Mask – Evaluating Social Biases in Masked Language Models Masahiro Kaneko, Danushka Bollegala

Learning the Physics of Particle Transport via Transformers Oscar Pastor-Serrano, Zoltán Perkó

LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data Dilini Rajapaksha, Christoph Bergmeir

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? Weina Jin, Xiaoxiao Li, Ghassan Hamarneh

Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search Yunhe Feng, Chirag Shah

Interpretable Low-Resource Legal Decision Making Rohan Bhambhoria, Hui Liu, Dahan Samuel, Xiaodan Zhu

Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings Sean Matthews, John Hudzina, Dawn Sepehr

Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference Zeel B Patel, Palak Purohit, Harsh Patel, Shivam Sahni, Nipun Batra

FairFoody: Bringing in Fairness in Food Delivery Anjali, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez

'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube Krithika Ramesh, Ashiqur KhudaBukhsh, Sumeet Kumar

TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu, Jingran Dong, Yunjie Xu

A Search Engine for Discovery of Scientific Challenges and Directions Dan Lahav, Jon Saad Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope

CrossWalk: Fairness-Enhanced Node Representation LearningAhmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman

ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu

Sentiment and Emotion-Aware Multi-Modal Complaint Identification Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha

Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin