A Unified Approach to Interpreting Model Predictions

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A Unified Approach to Interpreting Model Predictions

22 May 2017

Scott M. Lundberg

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Papers citing "A Unified Approach to Interpreting Model Predictions"

16 / 3,916 papers shown

Title
Explanations of model predictions with live and breakDown packages M. Staniak P. Biecek FAtt 61 118 0 05 Apr 2018
The Challenge of Crafting Intelligible Intelligence Daniel S. Weld Gagan Bansal 58 244 0 09 Mar 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 184 576 0 21 Feb 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang Armando Solar-Lezama Rishabh Singh FAtt 115 63 0 21 Feb 2018
Consistent Individualized Feature Attribution for Tree Ensembles Scott M. Lundberg G. Erion Su-In Lee FAtt TDI 90 1,410 0 12 Feb 2018
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks Patrick Schwab Djordje Miladinovic W. Karlen CML 107 57 0 06 Feb 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 104 324 0 01 Feb 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 272 1,851 0 30 Nov 2017
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis Rushil Anirudh Jayaraman J. Thiagarajan R. Sridhar T. Bremer FAtt AAML 72 12 0 15 Nov 2017
Embedding Deep Networks into Visual Explanations Zhongang Qi Saeed Khorram Fuxin Li 41 27 0 15 Sep 2017
MAGIX: Model Agnostic Globally Interpretable Explanations Nikaash Puri Piyush B. Gupta Pratiksha Agarwal Sukriti Verma Balaji Krishnamurthy FAtt 111 41 0 22 Jun 2017
Consistent feature attribution for tree ensembles Scott M. Lundberg Su-In Lee FAtt 80 122 0 19 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 112 83 0 29 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 209 3,896 0 10 Apr 2017
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 124 793 0 05 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,225 0 16 Feb 2016