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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

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Title
Towards Transparent and Explainable Attention Models Akash Kumar Mohankumar Preksha Nema Sharan Narasimhan Mitesh M. Khapra Balaji Vasan Srinivasan Balaraman Ravindran 79 102 0 29 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 68 18 0 27 Apr 2020
Corpus-level and Concept-based Explanations for Interpretable Document Classification Tian Shi Xuchao Zhang Ping Wang Chandan K. Reddy FAtt 72 9 0 24 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Helen Zhou AAML 61 8 0 23 Apr 2020
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer Y. Hao Li Dong Furu Wei Ke Xu ViT 120 230 0 23 Apr 2020
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations Dan Valle Tiago Pimentel Adriano Veloso FAtt XAI AAML 40 3 0 22 Apr 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution Gary S. W. Goh Sebastian Lapuschkin Leander Weber Wojciech Samek Alexander Binder FAtt 75 35 0 22 Apr 2020
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling David Harbecke Christoph Alt 60 10 0 21 Apr 2020
Games for Fairness and Interpretability Eric Chu Nabeel Gillani S. Makini FaML 32 4 0 20 Apr 2020
Boxer: Interactive Comparison of Classifier Results Michael Gleicher Aditya Barve Xinyi Yu Florian Heimerl VLM HAI 83 40 0 16 Apr 2020
SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang Nuno Vasconcelos FAtt 55 83 0 16 Apr 2020
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations Md Rafiqul Islam Rabin Mohammad Amin Alipour NAI 82 20 0 15 Apr 2020
Explaining Regression Based Neural Network Model Mégane Millan Catherine Achard FAtt 35 3 0 15 Apr 2020
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images Shaoping Hu Yuan Gao Zhangming Niu Yinghui Jiang Lao Li ... E. Fang Wade Menpes-Smith Jun Xia Hui Ye Guang Yang 74 321 0 14 Apr 2020
Complaint-driven Training Data Debugging for Query 2.0 Weiyuan Wu Lampros Flokas Eugene Wu Jiannan Wang 79 45 0 12 Apr 2020
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores Naoya Takeishi Yoshinobu Kawahara TDI FAtt 33 3 0 09 Apr 2020
Bayesian Interpolants as Explanations for Neural Inferences K. McMillan FAtt BDL 30 1 0 08 Apr 2020
A general framework for inference on algorithm-agnostic variable importance B. Williamson P. Gilbert N. Simon M. Carone FAtt CML 56 68 0 07 Apr 2020
TSInsight: A local-global attribution framework for interpretability in time-series data Shoaib Ahmed Siddiqui Dominique Mercier Andreas Dengel Sheraz Ahmed FAtt AI4TS 50 12 0 06 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods Sylvestre-Alvise Rebuffi Ruth C. Fong Xu Ji Andrea Vedaldi FAtt XAI 68 113 0 06 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 117 95 0 04 Apr 2020
Attribution in Scale and Space Shawn Xu Subhashini Venugopalan Mukund Sundararajan FAtt BDL 60 72 0 03 Apr 2020
Understanding Global Feature Contributions With Additive Importance Measures Ian Covert Scott M. Lundberg Su-In Lee FAtt 66 23 0 01 Apr 2020
NBDT: Neural-Backed Decision Trees Alvin Wan Lisa Dunlap Daniel Ho Jihan Yin Scott Lee Henry Jin Suzanne Petryk Sarah Adel Bargal Joseph E. Gonzalez 68 106 0 01 Apr 2020
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time G. Vivar Kamilia Mullakaeva A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 24 5 0 31 Mar 2020
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction Rodrigo de Medrano J. Aznarte AI4TS 62 24 0 31 Mar 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 144 220 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 182 123 0 26 Mar 2020
Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition Zhongguo Li Fan Lyu Wei Feng Song Wang EgoV 27 1 0 24 Mar 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 244 207 0 22 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 145 83 0 17 Mar 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability Mingli Song Yixin Chen Jingwen Ye Xinchao Wang Chengchao Shen Feng Mao Xiuming Zhang 72 29 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 97 157 0 16 Mar 2020
Measuring and improving the quality of visual explanations Agnieszka Grabska-Barwiñska XAI FAtt 141 3 0 14 Mar 2020
Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection Chih-Yuan Yang R. Sahita AAML 18 3 0 13 Mar 2020
Building and Interpreting Deep Similarity Models Oliver Eberle Jochen Büttner Florian Kräutli K. Müller Matteo Valleriani G. Montavon 73 59 0 11 Mar 2020
IROF: a low resource evaluation metric for explanation methods Laura Rieger Lars Kai Hansen 68 55 0 09 Mar 2020
Deep learning for prediction of population health costs Philipp Drewe-Boss D. Enders Jochen Walker U. Ohler 16 16 0 06 Mar 2020
Explaining Away Attacks Against Neural Networks Sean Saito Jin Wang AAML GAN FAtt 16 0 0 06 Mar 2020
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 117 27 0 06 Mar 2020
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell David Duvenaud Anna Goldenberg FAtt OOD AI4TS 138 14 0 05 Mar 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters Naman Bansal Chirag Agarwal Anh Nguyen FAtt 28 0 0 04 Mar 2020
Transformation Importance with Applications to Cosmology Chandan Singh Wooseok Ha F. Lanusse V. Boehm Jia-Wei Liu Bin Yu AI4CE 62 11 0 04 Mar 2020
Explaining Groups of Points in Low-Dimensional Representations Gregory Plumb Jonathan Terhorst S. Sankararaman Ameet Talwalkar 103 31 0 03 Mar 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Jiliang Tang AAML GNN 127 103 0 02 Mar 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 63 115 0 23 Feb 2020
Sampling for Deep Learning Model Diagnosis (Technical Report) Parmita Mehta S. Portillo Magdalena Balazinska Andrew J. Connolly LM&MA MLAU 28 2 0 22 Feb 2020
Estimating Training Data Influence by Tracing Gradient Descent G. Pruthi Frederick Liu Mukund Sundararajan Satyen Kale TDI 156 419 0 19 Feb 2020
Interpreting Interpretations: Organizing Attribution Methods by Criteria Zifan Wang Piotr (Peter) Mardziel Anupam Datta Matt Fredrikson XAI FAtt 54 17 0 19 Feb 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods W. Zhang Thomas Kobber Panum S. Jha P. Chalasani David Page CML AI4TS 81 49 0 18 Feb 2020