Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation

26 March 2019

Markus Gross

Papers citing "Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation"

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Title
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models Kaiji Lu Anupam Datta 26 0 0 01 Jun 2022
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN Siyuan Li Di Wu Fang Wu Lei Shang Stan.Z.Li 36 48 0 27 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks Ouns El Harzli Bernardo Cuenca Grau Ian Horrocks FAtt 40 5 0 19 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 27 2 0 15 May 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation Zhenyu Yang Zongsheng Hu H. Ji Kyle J. Lafata Scott Floyd F. Yin Cong Wang 29 14 0 01 Mar 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 27 205 0 11 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 399 0 20 Jan 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training Xiangli Yang Yun Lin Ruofan Liu Zhenfeng He Chao Wang Jinlong Dong Hong Mei 14 5 0 31 Dec 2021
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 36 63 0 21 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 34 9 0 06 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 56 55 0 05 Dec 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 24 13 0 29 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 42 59 0 11 Nov 2021
Defining and Quantifying the Emergence of Sparse Concepts in DNNs Jie Ren Mingjie Li Qirui Chen Huiqi Deng Quanshi Zhang 23 31 0 11 Nov 2021
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing Wen Shen Qihan Ren Dongrui Liu Quanshi Zhang 3DPC 47 18 0 05 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 46 11 0 05 Nov 2021
Comparing Deep Neural Nets with UMAP Tour Mingwei Li C. Scheidegger FAtt 28 1 0 18 Oct 2021
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction Osama Makansi Julius von Kügelgen Francesco Locatello Peter V. Gehler Dominik Janzing Thomas Brox Bernhard Schölkopf FAtt 38 28 0 11 Oct 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation Jiahui Li Kun Kuang Lin Li Long Chen Songyang Zhang Jian Shao Jun Xiao FAtt 20 18 0 03 Sep 2021
Interpretable deep-learning models to help achieve the Sustainable Development Goals Ricardo Vinuesa B. Sirmaçek 21 85 0 24 Aug 2021
D-DARTS: Distributed Differentiable Architecture Search Alexandre Heuillet Hedi Tabia Hichem Arioui K. Youcef-Toumi 39 1 0 20 Aug 2021
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 67 127 0 15 Jul 2021
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data Sebastian Polsterl Christina Aigner Christian Wachinger FAtt 24 4 0 13 Jul 2021
Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods Xianlong Zeng Fanghao Song Zhongen Li Krerkkiat Chusap Chang Liu 11 7 0 24 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 37 65 0 23 Jun 2021
A Game-Theoretic Taxonomy of Visual Concepts in DNNs Xu Cheng Chuntung Chu Yi Zheng Jie Ren Quanshi Zhang 12 21 0 21 Jun 2021
Best of both worlds: local and global explanations with human-understandable concepts Jessica Schrouff Sebastien Baur Shaobo Hou Diana Mincu Eric Loreaux Ralph Blanes James Wexler Alan Karthikesalingam Been Kim FAtt 34 28 0 16 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning Yatao Bian Yu Rong Tingyang Xu Jiaxiang Wu Andreas Krause Junzhou Huang 40 16 0 05 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Fei Wu Jun Xiao OffRL 25 60 0 01 Jun 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang Yuan Zhang Yunjie Gu Tae-Kyun Kim OffRL FAtt 22 19 0 31 May 2021
An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics E. Guidotti Alfio Ferrara 17 3 0 26 May 2021
Can We Faithfully Represent Masked States to Compute Shapley Values on a DNN? Jie Ren Zhanpeng Zhou Qirui Chen Quanshi Zhang FAtt TDI 37 8 0 22 May 2021
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 27 123 0 30 Apr 2021
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals C. V. Rossum Candice Feinberg Adam Abu Shumays Kyle Baxter Benedek Bartha GAN LLMAG LRM 26 1 0 14 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 31 74 0 08 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 27 44 0 06 Apr 2021
Neural Response Interpretation through the Lens of Critical Pathways Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht Seong Tae Kim Nassir Navab 29 32 0 31 Mar 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Xu Cheng Xin Eric Wang Meng Zhou Jie Shi Quanshi Zhang AAML 72 22 0 12 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton Scott M. Lundberg Lei Zhang Stephanie Fu William T. Freeman FAtt 30 10 0 28 Feb 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks Xinyang Zhang Ren Pang S. Ji Fenglong Ma Ting Wang HAI AI4CE 16 5 0 22 Jan 2021
Towards Interpretable Ensemble Learning for Image-based Malware Detection Yuzhou Lin Xiaolin Chang AAML 15 8 0 13 Jan 2021
The Shapley Value of Classifiers in Ensemble Games Benedek Rozemberczki Rik Sarkar FAtt FedML TDI 59 33 0 06 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 146 665 0 28 Dec 2020
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators Qing Wan Yoonsuck Choe 31 1 0 16 Dec 2020
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression Ian Covert Su-In Lee FAtt 12 161 0 02 Dec 2020
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals Tsung-Yu Hsieh Suhang Wang Yiwei Sun Vasant Honavar BDL AI4TS FAtt 18 9 0 23 Nov 2020
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning Jianyi Yang Shaolei Ren FAtt FaML 14 5 0 17 Nov 2020
A Multilinear Sampling Algorithm to Estimate Shapley Values Ramin Okhrati Aldo Lipani TDI FAtt 82 38 0 22 Oct 2020
Learning Propagation Rules for Attribution Map Generation Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang FAtt 38 17 0 14 Oct 2020