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Make beam search robust against ambiguous input class probability distributions #19

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josephbirkner opened this issue Sep 27, 2017 · 0 comments
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josephbirkner commented Sep 27, 2017

Currently, the extrapolator network is only trained to handle one-hot class vectors. However, for the extrapolation, it may be useful if the extrapolator could either ...

  • ... handle ambiguous input classes as part of it's training, and/or ...
  • ... output completions for different classes, not just the most probable of the last prefix step.
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