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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
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction Luoqiu Li Xiang Chen Zhen Bi Xin Xie Shumin Deng Ningyu Zhang Chuanqi Tan Mosha Chen Huajun Chen AAML 112 7 0 01 Apr 2021
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization Tien-Ju Yang Yi-Lun Liao Vivienne Sze 118 57 0 31 Mar 2021
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 64 7 0 31 Mar 2021
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications P. M. Winter Sebastian K. Eder J. Weissenbock Christoph Schwald Thomas Doms Tom Vogt Sepp Hochreiter Bernhard Nessler 113 25 0 31 Mar 2021
Neural Response Interpretation through the Lens of Critical Pathways Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht Seong Tae Kim Nassir Navab 58 34 0 31 Mar 2021
MISA: Online Defense of Trojaned Models using Misattributions Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 56 10 0 29 Mar 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Hila Chefer Shir Gur Lior Wolf ViT 103 328 0 29 Mar 2021
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks Benjamin Filtjens Pieter Ginis A. Nieuwboer P. Slaets Bart Vanrumste 30 21 0 29 Mar 2021
Efficient Explanations from Empirical Explainers Robert Schwarzenberg Nils Feldhus Sebastian Möller FAtt 93 9 0 29 Mar 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation Dohun Lim Hyeonseok Lee Sungchan Kim FAtt AAML 68 13 0 26 Mar 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 71 7 0 25 Mar 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks Qing-Long Zhang Lu Rao Yubin Yang 71 59 0 25 Mar 2021
ECINN: Efficient Counterfactuals from Invertible Neural Networks Frederik Hvilshoj Alexandros Iosifidis Ira Assent BDL 77 26 0 25 Mar 2021
Symmetry-Preserving Paths in Integrated Gradients Miguel A. Lerma Mirtha Lucas 36 4 0 25 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal Vidhisha Balachandran Eduard H. Hovy Yulia Tsvetkov MILM SSL FAtt AI4TS 90 67 0 23 Mar 2021
Weakly Supervised Recovery of Semantic Attributes Ameen Ali Tomer Galanti Evgeniy Zheltonozhskiy Chaim Baskin Lior Wolf 59 0 0 22 Mar 2021
Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles M. Merz Ronald Richman A. Tsanakas M. Wüthrich FAtt 32 11 0 22 Mar 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Helen Zhou G. Gu AAML 125 4 0 22 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 83 26 0 20 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 120 52 0 20 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 82 344 0 19 Mar 2021
Noise Modulation: Let Your Model Interpret Itself Haoyang Li Xinggang Wang FAtt AAML 91 0 0 19 Mar 2021
Refining Language Models with Compositional Explanations Huihan Yao Ying Chen Qinyuan Ye Xisen Jin Xiang Ren 89 36 0 18 Mar 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 103 77 0 18 Mar 2021
Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model Agus Sudjianto Jinwen Qiu Miaoqi Li Jie Chen 32 3 0 18 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry Yingqi Liu Guangyu Shen Guanhong Tao Zhenting Wang Shiqing Ma Xinming Zhang AAML 97 8 0 16 Mar 2021
DiaRet: A browser-based application for the grading of Diabetic Retinopathy with Integrated Gradients Shaswat Patel Maithili Lohakare Samyak Prajapati Shaanya Singh Nancy Patel MedIm 19 4 0 15 Mar 2021
CACTUS: Detecting and Resolving Conflicts in Objective Functions Subhajit Das Alex Endert 53 0 0 13 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 136 23 0 12 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Helen Zhou 110 107 0 11 Mar 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics Valerie Chen Jeffrey Li Joon Sik Kim Gregory Plumb Ameet Talwalkar 74 31 0 10 Mar 2021
Deepfake Videos in the Wild: Analysis and Detection Jiameng Pu Neal Mangaokar Lauren Kelly P. Bhattacharya Kavya Sundaram M. Javed Bolun Wang Bimal Viswanath 74 45 0 07 Mar 2021
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 143 21 0 05 Mar 2021
Human-Understandable Decision Making for Visual Recognition Xiaowei Zhou Jie Yin Ivor Tsang Chen Wang FAtt HAI 54 1 0 05 Mar 2021
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction Aniruddh Raghu John Guttag K. Young E. Pomerantsev Adrian Dalca Collin M. Stultz 43 9 0 04 Mar 2021
GLAMOUR: Graph Learning over Macromolecule Representations Somesh Mohapatra Joyce An Rafael Gómez-Bombarelli AI4CE 13 2 0 03 Mar 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans Cher Bass Mariana da Silva Carole Sudre Logan Z. J. Williams Petru-Daniel Tudosiu F. Alfaro-Almagro S. Fitzgibbon M. Glasser Stephen M. Smith E. C. Robinson 69 27 0 03 Mar 2021
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images Alexandros Papadopoulos F. Topouzis A. Delopoulos 64 29 0 02 Mar 2021
Interpretable Artificial Intelligence through the Lens of Feature Interaction Michael Tsang James Enouen Yan Liu FAtt 41 8 0 01 Mar 2021
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence Atoosa Kasirzadeh 70 24 0 01 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton Scott M. Lundberg Lei Zhang Stephanie Fu William T. Freeman FAtt 87 10 0 28 Feb 2021
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays H. Abdulah B. Huber Sinan Lal H. Abdallah L. Palese H. Soltanian-Zadeh D. Gatti 76 4 0 26 Feb 2021
PredDiff: Explanations and Interactions from Conditional Expectations Stefan Blücher Johanna Vielhaben Nils Strodthoff FAtt 50 19 0 26 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 127 234 0 25 Feb 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 120 59 0 25 Feb 2021
On the Impact of Interpretability Methods in Active Image Augmentation Method F. Santos Cleber Zanchettin L. Matos P. Novais AAML 35 2 0 24 Feb 2021
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting Abheesht Sharma Harshit Pandey Gunjan Chhablani Yash Bhartia T. Dash 52 1 0 24 Feb 2021
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques Gunjan Chhablani Abheesht Sharma Harshit Pandey Yash Bhartia S. Suthaharan 35 14 0 24 Feb 2021
Rethinking Natural Adversarial Examples for Classification Models Xiao-Li Li Jianmin Li Ting Dai Jie Shi Jun Zhu Xiaolin Hu AAML VLM 128 13 0 23 Feb 2021
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks Ginevra Carbone G. Sanguinetti Luca Bortolussi FAtt AAML 78 4 0 22 Feb 2021