Awesome-Uncertainty-Estimation

Git Repos

• PyTorch-BayesianCNN

Papers

• Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification
• Thesis: Geometry and Uncertainty in Deep Learning for Computer Vision
• Thesis: Uncertainty Estimation for Object Detection
• Thesis: Uncertainty in Deep Learning
• axiv: Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
• axiv: BAYESIAN CONVOLUTIONAL NEURAL NETWORKS WITH BERNOULLI APPROXIMATE VARIATIONAL INFERENCE
• axiv: Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
• axiv: What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
• axiv: Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
• axiv: Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
• axiv: Direct Uncertainty Prediction for Medical Second Opinions
• axiv: Efficient Uncertainty Estimation for Semantic Segmentation in Videos
• axiv: Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
• axiv: BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
• axiv: Uncertainty Estimation in One-Stage Object Detection
• axiv: A General Framework for Uncertainty Estimation in Deep Learning
• axiv: Learning an Uncertainty-Aware Object Detector for Autonomous Driving
• Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications
• Towards Safe Autonomous Driving: Capture Uncertainty in Deep Object Detectors
• Uncertainty in Machine Learning

Blogs

• YARIN GAL: Uncertainty in Deep Learning
• Niko Sünderhauf: Bayesian Deep Learning and Uncertainty in Object Detection
• Jason Brownlee: A Gentle Introduction to Uncertainty in Machine Learning

Tools

• masksembles (Paper)

Workshop

• ICML UDL2019
• ICML UDL2020
• ICML UDL2021