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20122024
most citedFooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods

168 citations · 639 across the 30 of their papers we have counts for

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Showing 2019Show all

13 papers · 1 filter

cs.CL201914 cited

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension

Dheeru Dua, Ananth Gottumukkala, Alon Talmor +2

Reading comprehension is one of the crucial tasks for furthering research in natural language understanding. A lot of diverse reading comprehension datasets have recently been intr…

cs.CV2019

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution

Nikaash Puri, Sukriti Verma, Piyush Gupta +4

As deep reinforcement learning (RL) is applied to more tasks, there is a need to visualize and understand the behavior of learned agents. Saliency maps explain agent behavior by hi…

cs.CL201951 cited

Neural Module Networks for Reasoning over Text

Nitish Gupta, Kevin Lin, Dan Roth +2

Answering compositional questions that require multiple steps of reasoning against text is challenging, especially when they involve discrete, symbolic operations. Neural module ne…

cs.LG2019168 cited

Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods

Dylan Slack, Sophie Hilgard, Emily Jia +2

As machine learning black boxes are increasingly being deployed in domains such as healthcare and criminal justice, there is growing emphasis on building tools and techniques for e…

cs.LG2019

Compositional Generalization with Tree Stack Memory Units

Forough Arabshahi, Zhichu Lu, Pranay Mundra +2

We study compositional generalization, viz., the problem of zero-shot generalization to novel compositions of concepts in a domain. Standard neural networks fail to a large extent…

cs.CL201912 cited

Knowledge Enhanced Contextual Word Representations

Matthew E. Peters, Mark Neumann, Robert L. Logan +4

Contextual word representations, typically trained on unstructured, unlabeled text, do not contain any explicit grounding to real world entities and are often unable to remember fa…