v1v2 (latest)

Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,872 papers shown

Title
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 120 17 0 14 Oct 2021
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks Yixiang Wang Jiqiang Liu Xiaolin Chang Jianhua Wang Ricardo J. Rodríguez AAML 95 31 0 14 Oct 2021
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools Davis Brown Henry Kvinge AAML 83 7 0 14 Oct 2021
A Rate-Distortion Framework for Explaining Black-box Model Decisions Stefan Kolek Duc Anh Nguyen Ron Levie Joan Bruna Gitta Kutyniok 97 16 0 12 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 88 29 0 11 Oct 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency Lin Cheng Pengfei Fang Yanjie Liang Liao Zhang Chunhua Shen Hanzi Wang FAtt 135 12 0 11 Oct 2021
A Framework for Rationale Extraction for Deep QA models Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra AAML FAtt 51 0 0 09 Oct 2021
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction Sayantan Kumar Sean C. Yu Thomas Kannampallil Zachary B. Abrams Andrew Michelson Philip R. O. Payne FAtt 41 7 0 09 Oct 2021
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results M. Fomicheva Piyawat Lertvittayakumjorn Wei Zhao Steffen Eger Yang Gao ELM 97 41 0 08 Oct 2021
Assessment of Neural Networks for Stream-Water-Temperature Prediction S. Mohr Konstantina Drainas J. Geist 35 3 0 08 Oct 2021
Salient ImageNet: How to discover spurious features in Deep Learning? Sahil Singla Soheil Feizi AAML VLM 121 120 0 08 Oct 2021
Explainability-Aware One Point Attack for Point Cloud Neural Networks Hanxiao Tan Helena Kotthaus 3DPC AAML 84 11 0 08 Oct 2021
Cartoon Explanations of Image Classifiers Stefan Kolek Duc Anh Nguyen Ron Levie Joan Bruna Gitta Kutyniok FAtt 130 17 0 07 Oct 2021
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations Sindre Benjamin Remman A. Lekkas 55 14 0 07 Oct 2021
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 93 47 0 06 Oct 2021
Causal Explanations of Structural Causal Models Matej Zevcević Devendra Singh Dhami Constantin Rothkopf Kristian Kersting LRM 57 3 0 05 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 152 708 0 05 Oct 2021
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess Gregory Clark 95 9 0 05 Oct 2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information Yang Zhang Ashkan Khakzar Yawei Li Azade Farshad Seong Tae Kim Nassir Navab FAtt XAI 102 29 0 04 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 213 383 0 04 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 158 47 0 01 Oct 2021
Consistent Explanations by Contrastive Learning Vipin Pillai Soroush Abbasi Koohpayegani Ashley Ouligian Dennis Fong Hamed Pirsiavash FAtt 76 21 0 01 Oct 2021
LEMON: Explainable Entity Matching Nils Barlaug FAtt AAML 62 9 0 01 Oct 2021
Focus! Rating XAI Methods and Finding Biases Anna Arias-Duart Ferran Parés Dario Garcia-Gasulla Victor Gimenez-Abalos 68 31 0 28 Sep 2021
Discriminative Attribution from Counterfactuals N. Eckstein A. S. Bates G. Jefferis Jan Funke FAtt CML 51 1 0 28 Sep 2021
Optimising for Interpretability: Convolutional Dynamic Alignment Networks Moritz D Boehle Mario Fritz Bernt Schiele 31 3 0 27 Sep 2021
Time Series Model Attribution Visualizations as Explanations U. Schlegel Daniel A. Keim TDI BDL FAtt AI4TS XAI 92 15 0 27 Sep 2021
MIIDL: a Python package for microbial biomarkers identification powered by interpretable deep learning Jian Jiang 28 0 0 24 Sep 2021
Attentive Contractive Flow with Lipschitz-constrained Self-Attention Avideep Mukherjee Badri N. Patro Vinay P. Namboodiri 56 0 0 24 Sep 2021
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses Yaman Kumar Singla Swapnil Parekh Somesh Singh Junjie Li R. Shah Changyou Chen AAML 90 14 0 24 Sep 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 67 81 0 23 Sep 2021
Toward a Unified Framework for Debugging Concept-based Models A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 51 4 0 23 Sep 2021
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation Yunlong Wang Priyadarshini Venkatesh Brian Y. Lim 137 21 0 21 Sep 2021
Towards Explainable Scientific Venue Recommendations Bastian Schafermeier Gerd Stumme Tom Hanika 58 1 0 21 Sep 2021
FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants Yanjiao Chen Yijie Bai Richard Mitev Kaibo Wang A. Sadeghi Wei Dong AAML 77 21 0 21 Sep 2021
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees Jilei Yang FAtt 105 37 0 20 Sep 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging Karim Lekadira Richard Osuala C. Gallin Noussair Lazrak Kaisar Kushibar ... Nickolas Papanikolaou Zohaib Salahuddin Henry C. Woodruff Philippe Lambin L. Martí-Bonmatí AI4TS 163 62 0 20 Sep 2021
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition Xinke Shen Xianggen Liu Xin Hu Dan Zhang Sen Song 74 156 0 20 Sep 2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text Saneem A. Chemmengath A. Azad Ronny Luss Amit Dhurandhar FAtt 103 10 0 16 Sep 2021
Explainability Requires Interactivity Matthias Kirchler M. Graf Marius Kloft C. Lippert FAtt AAML HAI 57 1 0 16 Sep 2021
Detection Accuracy for Evaluating Compositional Explanations of Units Sayo M. Makinwa Biagio La Rosa Roberto Capobianco FAtt CoGe 85 1 0 16 Sep 2021
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations Hangzhi Guo T. Nguyen A. Yadav OffRL 68 16 0 15 Sep 2021
Decision-Focused Summarization Chao-Chun Hsu Chenhao Tan 114 16 0 14 Sep 2021
Rationales for Sequential Predictions Keyon Vafa Yuntian Deng David M. Blei Alexander M. Rush 90 33 0 14 Sep 2021
From Heatmaps to Structural Explanations of Image Classifiers Li Fuxin Zhongang Qi Saeed Khorram Vivswan Shitole Prasad Tadepalli Minsuk Kahng Alan Fern XAI FAtt 49 6 0 13 Sep 2021
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability K. Operiano W. Pora H. Iba Hiroshi Kera AAML 70 1 0 13 Sep 2021
Logic Traps in Evaluating Attribution Scores Yiming Ju Yuanzhe Zhang Zhao Yang Zhongtao Jiang Kang Liu Jun Zhao XAI FAtt 119 19 0 12 Sep 2021
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation Thien Q. Tran Kazuto Fukuchi Youhei Akimoto Jun Sakuma CML 89 10 0 09 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption A. Frikha Denis Krompass Volker Tresp OOD 90 1 0 09 Sep 2021
Model Explanations via the Axiomatic Causal Lens Gagan Biradar Vignesh Viswanathan Yair Zick XAI CML 87 1 0 08 Sep 2021