A Unified Taylor Framework for Revisiting Attribution Methods

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A Unified Taylor Framework for Revisiting Attribution Methods

21 August 2020

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Papers citing "A Unified Taylor Framework for Revisiting Attribution Methods"

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Title
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective Huiqi Deng Hongbin Pei Quanshi Zhang Mengnan Du FAtt 67 1 0 11 Aug 2025
Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective Guanhua Zheng Jitao Sang Changsheng Xu AAML FAtt 180 0 0 14 Mar 2025
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 165 2 0 11 Nov 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Yuqing Zhou Ruixiang Tang Ziyu Yao Ziwei Zhu 172 6 0 26 Sep 2024
Interpretable Machine Learning for Weather and Climate Prediction: A Survey Ruyi Yang Jingyu Hu Zihao Li Jianli Mu Tingzhao Yu Jiangjiang Xia Xuhong Li Aritra Dasgupta Haoyi Xiong AI4CE 159 7 0 24 Mar 2024
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly AttributionKnowledge Discovery and Data Mining (KDD), 2023 T. Idé Naoki Abe 121 6 0 09 Aug 2023
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs Mingjie Li Quanshi Zhang 124 11 0 26 Apr 2023
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions Huiqi Deng Na Zou Mengnan Du Weifu Chen Guo-Can Feng Ziwei Yang Zheyang Li Quanshi Zhang FAtt TDI 155 25 0 02 Mar 2023
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful AttributionKnowledge Discovery and Data Mining (KDD), 2021 Huiqi Deng Na Zou Weifu Chen Guo-Can Feng Mengnan Du Helen Zhou FAtt 109 7 0 14 Apr 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Helen Zhou 166 115 0 11 Mar 2021
PredDiff: Explanations and Interactions from Conditional ExpectationsArtificial Intelligence (AI), 2021 Stefan Blücher Johanna Vielhaben Nils Strodthoff FAtt 138 21 0 26 Feb 2021
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 223 85 0 17 Mar 2020