The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets

Notes on the n-Person Game – II: The Value of an n-Person Game

Shapley, L. S. 1951 · 1951

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Learning Attitudes and Attributes from Multi-aspect Reviews

McAuley, J. J.; Leskovec, J.; and Jurafsky, D. 2012 · 2012

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Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Simonyan, K.; Vedaldi, A.; and Zisserman, A. 2014 · 2014

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“Why should I trust you?”: Explaining the predictions of any classifier

Ribeiro, M. T.; Singh, S.; and Guestrin, C. 2016 · 2016

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Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Arras, L.; Montavon, G.; Müller, K.-R.; and Samek, W. 2017 · 2017

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A Unified Approach to Interpreting Model Predictions

Lundberg, S. M.; and Lee, S.-I. 2017 · 2017

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Learning Important Features Through Propagating Activation Differences

Shrikumar, A.; Greenside, P.; and Kundaje, A. 2017 · 2017

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Axiomatic Attribution for Deep Networks

Sundararajan, M.; Taly, A.; and Yan, Q. 2017 · 2017

Cited alongside, same era.

e-SNLI: Natural Language Inference with Natural Language Explanations

Camburu, O.; Rocktäschel, T.; Lukasiewicz, T.; and Blunsom, P. 2018 · 2018

Cited alongside, same era.

Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

Chen, J.; Song, L.; Wainwright, M.; and Jordan, M. 2018 · 2018

Cited alongside, same era.

Annotation Artifacts in Natural Language Inference Data

Gururangan, S.; Swayamdipta, S.; Levy, O.; Schwartz, R.; Bowman, S.; and Smith, N. A. 2018 · 2018

Cited alongside, same era.

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Kim, B.; Wattenberg, M.; Gilmer, J.; Cai, C.; Wexler, J.; Viegas, F.; and Sayres, R. 2018 · 2018

Later among the works it cites.

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Park, D. H.; Hendricks, L. A.; Akata, Z.; Rohrbach, A.; Schiele, B.; Darrell, T.; and Rohrbach, M. 2018 · 2018

Later among the works it cites.

Anchors: High-Precision Model-Agnostic Explanations

Ribeiro, M. T.; Singh, S.; and Guestrin, C. 2018 · 2018

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What made you do this? Understanding black-box decisions with sufficient input subsets

Carter, B.; Mueller, J.; Jain, S.; and Gifford, D. K. 2019 · 2019

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INVASE: Instance-wise Variable Selection using Neural Networks

Yoon, J.; Jordon, J.; and van der Schaar, M. 2019 · 2019

Later among the works it cites.