8 citations · 14 across the 5 of their papers we have counts for
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cs.NE2022★ 8 cited
A Theoretical Framework for Inference Learning
Nick Alonso, Beren Millidge, Jeff Krichmar +1
Backpropagation (BP) is the most successful and widely used algorithm in deep learning. However, the computations required by BP are challenging to reconcile with known neurobiolog…
cs.LG2022
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability
Jinwei Xing, Takashi Nagata, Xinyun Zou +2
Although deep Reinforcement Learning (RL) has proven successful in a wide range of tasks, one challenge it faces is interpretability when applied to real-world problems. Saliency m…