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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
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations Daniel Lundström Alexander Huyen Arya Mevada Kyongsik Yun Thomas Lu 16 1 0 15 Jan 2022
Brain Structural Saliency Over The Ages Daniel Taylor Jonathan Shock Deshendran Moodley J. Ipser M. Treder FAtt 41 1 0 12 Jan 2022
Explaining Predictive Uncertainty by Looking Back at Model Explanations Hanjie Chen Wanyu Du Yangfeng Ji 127 2 0 11 Jan 2022
Effective Representation to Capture Collaboration Behaviors between Explainer and User Arjun Reddy Akula Song-Chun Zhu 117 4 0 10 Jan 2022
Topological Representations of Local Explanations Peter Xenopoulos G. Chan Harish Doraiswamy L. G. Nonato Brian Barr Claudio Silva FAtt 94 4 0 06 Jan 2022
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection Hui Liu Bo Zhao Yuefeng Peng Weidong Li Peng Liu AAML 94 1 0 04 Jan 2022
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images Yibin Wang Abdur Rahman W. Duggar P. R. Roberts T. V. Thomas L. Bian Haifeng Wang 61 6 0 03 Jan 2022
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation Mohammadamin Tavakoli Alexander Shmakov Francesco Ceccarelli Pierre Baldi GNN 70 8 0 02 Jan 2022
Interpretable Low-Resource Legal Decision Making R. Bhambhoria Hui Liu Samuel Dahan Xiao-Dan Zhu ELM AILaw 73 9 0 01 Jan 2022
On Distinctive Properties of Universal Perturbations Sung Min Park K. Wei Kai Y. Xiao Jungshian Li Aleksander Madry AAML 134 2 0 31 Dec 2021
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 39 5 0 31 Dec 2021
Retrieving Black-box Optimal Images from External Databases Ryoma Sato MLAU 43 7 0 30 Dec 2021
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 93 66 0 28 Dec 2021
More Than Words: Towards Better Quality Interpretations of Text Classifiers Muhammad Bilal Zafar Philipp Schmidt Michele Donini Cédric Archambeau F. Biessmann Sanjiv Ranjan Das K. Kenthapadi FAtt 115 5 0 23 Dec 2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? Junxiang Wang Xuchao Zhang Bo Zong Yanchi Liu Wei Cheng Jingchao Ni Haifeng Chen Liang Zhao AAML 64 0 0 23 Dec 2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 145 83 0 23 Dec 2021
Reflash Dropout in Image Super-Resolution Xiangtao Kong Xina Liu Jinjin Gu Yu Qiao Chao Dong UQCV 92 59 0 22 Dec 2021
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 97 67 0 21 Dec 2021
RELAX: Representation Learning Explainability Kristoffer Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen FAtt 53 15 0 19 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 94 56 0 18 Dec 2021
GPEX, A Framework For Interpreting Artificial Neural Networks Amir Akbarnejad G. Bigras Nilanjan Ray 67 4 0 18 Dec 2021
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 88 41 0 17 Dec 2021
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers Michael Stephen Saxon Xinyi Wang Wenda Xu William Yang Wang 97 9 0 16 Dec 2021
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 110 44 0 16 Dec 2021
Towards Explainable Artificial Intelligence in Banking and Financial Services Ambreen Hanif 54 11 0 14 Dec 2021
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection Diego Garcia-Olano Yasumasa Onoe Joydeep Ghosh 69 18 0 13 Dec 2021
Sparse Interventions in Language Models with Differentiable Masking Nicola De Cao Leon Schmid Dieuwke Hupkes Ivan Titov 70 29 0 13 Dec 2021
How to Find a Good Explanation for Clustering? Sayan Bandyapadhyay F. Fomin P. Golovach W. Lochet Nidhi Purohit Kirill Simonov 52 37 0 13 Dec 2021
Visualising and Explaining Deep Learning Models for Speech Quality Prediction H. Tilkorn Gabriel Mittag Usability Lab TU Berlin 27 0 0 12 Dec 2021
Rethinking the Authorship Verification Experimental Setups Florin Brad Andrei Manolache Elena Burceanu Antonio Bărbălău Radu Tudor Ionescu Marius Popescu 46 5 0 09 Dec 2021
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng Jiacong Hu Sai Wu Xiaotian Yu Mingli Song Xiuming Zhang 84 14 0 09 Dec 2021
Latent Space Explanation by Intervention Itai Gat Guy Lorberbom Idan Schwartz Tamir Hazan BDL 53 14 0 09 Dec 2021
Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks Lichin Chen J. Sheu Yuh-Jue Chuang Yu Tsao 43 4 0 07 Dec 2021
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin Thomas Fel Rémi Cadène Thomas Serre 89 104 0 06 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 84 11 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 85 102 0 06 Dec 2021
Making a Bird AI Expert Work for You and Me Dongliang Chang Kaiyue Pang Ruoyi Du Zhanyu Ma Yi-Zhe Song Jun Guo 124 11 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 120 58 0 05 Dec 2021
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 72 10 0 02 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas Icard Noah D. Goodman Christopher Potts CML OOD 96 76 0 01 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 135 25 0 30 Nov 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 147 130 0 29 Nov 2021
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo Soheil Feizi FAtt 105 83 0 29 Nov 2021
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification Zhibo Zhang Jongseong Jang C. Trabelsi Ruiwen Li Scott Sanner Yeonjeong Jeong Dongsub Shim 54 4 0 28 Nov 2021
Learning a Weight Map for Weakly-Supervised Localization Tal Shaharabany Lior Wolf WSOL SSL 93 1 0 28 Nov 2021
Multicriteria interpretability driven Deep Learning M. Repetto 43 14 0 28 Nov 2021
Learning from learning machines: a new generation of AI technology to meet the needs of science L. Pion-Tonachini K. Bouchard Héctor García Martín S. Peisert W. B. Holtz ... Rick L. Stevens Mark Anderson Ken Kreutz-Delgado Michael W. Mahoney James B. Brown 73 8 0 27 Nov 2021
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics Aiham Taleb Matthias Kirchler Remo Monti C. Lippert SSL MedIm 75 58 0 26 Nov 2021
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN Wen Yu Baiying Lei Yanyan Shen Shuqiang Wang Yong Liu Z. Feng Yong Hu Michael K. Ng GAN MedIm 59 85 0 25 Nov 2021
Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches Francesco Craighero Fabrizio Angaroni Fabio Stella Chiara Damiani M. Antoniotti Alex Graudenzi AAML 72 8 0 24 Nov 2021