19 citations · 123 across the 25 of their papers we have counts for
5 papers · 1 filter
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
Vivswan Shitole, Li Fuxin, Minsuk Kahng +2
Attention maps are a popular way of explaining the decisions of convolutional networks for image classification. Typically, for each image of interest, a single attention map is pr…
On the Sub-Layer Functionalities of Transformer Decoder
Yilin Yang, Longyue Wang, Shuming Shi +3
There have been significant efforts to interpret the encoder of Transformer-based encoder-decoder architectures for neural machine translation (NMT); meanwhile, the decoder remains…
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
Aayam Shrestha, Stefan Lee, Prasad Tadepalli +1
We study an approach to offline reinforcement learning (RL) based on optimally solving finitely-represented MDPs derived from a static dataset of experience. This approach can be a…
Avoiding Side Effects in Complex Environments
Alexander Matt Turner, Neale Ratzlaff, Prasad Tadepalli
Reward function specification can be difficult. Rewarding the agent for making a widget may be easy, but penalizing the multitude of possible negative side effects is hard. In toy…
Relation Extraction with Explanation
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini +1
Recent neural models for relation extraction with distant supervision alleviate the impact of irrelevant sentences in a bag by learning importance weights for the sentences. Effort…