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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,871 papers shown

Title
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 188 608 0 16 Jun 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping Cher Bass Mariana da Silva Carole Sudre Petru-Daniel Tudosiu Stephen M. Smith E. C. Robinson FAtt 58 40 0 15 Jun 2020
Loss Rate Forecasting Framework Based on Macroeconomic Changes: Application to US Credit Card Industry Sajjad Taghiyeh D. Lengacher R. Handfield 11 11 0 14 Jun 2020
On Saliency Maps and Adversarial Robustness Puneet Mangla Vedant Singh V. Balasubramanian AAML 47 17 0 14 Jun 2020
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold Mohamed Yousef Tom E. Bishop AI4TS 94 82 0 12 Jun 2020
Explaining Local, Global, And Higher-Order Interactions In Deep Learning Samuel Lerman Chenliang Xu C. Venuto Henry A. Kautz FAtt 125 10 0 12 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation Alvin Wan Daniel Ho You Song Henk Tillman Sarah Adel Bargal Joseph E. Gonzalez SSeg 108 6 0 11 Jun 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 110 117 0 11 Jun 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights Shaunak Halbe 42 2 0 11 Jun 2020
3D Point Cloud Feature Explanations Using Gradient-Based Methods A. Gupta Simon Watson Hujun Yin 3DPC 46 28 0 09 Jun 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei Wang AAML 103 18 0 09 Jun 2020
I know why you like this movie: Interpretable Efficient Multimodal Recommender Barbara Rychalska Dominika Basaj Jacek Dkabrowski Michal Daniluk 21 3 0 09 Jun 2020
A Baseline for Shapley Values in MLPs: from Missingness to Neutrality Cosimo Izzo Aldo Lipani Ramin Okhrati F. Medda FAtt 68 18 0 08 Jun 2020
The Penalty Imposed by Ablated Data Augmentation Frederick Liu A. Najmi Mukund Sundararajan 56 6 0 08 Jun 2020
Nonparametric Feature Impact and Importance T. Parr James D. Wilson J. Hamrick FAtt 133 31 0 08 Jun 2020
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H. Danesh Anurag Koul Alan Fern Saeed Khorram 69 21 0 06 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T. Schütt Klaus-Robert Muller G. Montavon 113 224 0 05 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images S. Chatterjee Fatima Saad Chompunuch Sarasaen Suhita Ghosh Valerie Krug ... Petia Radeva G. Rose Sebastian Stober Oliver Speck A. Nürnberger 104 26 0 03 Jun 2020
Shapley Value as Principled Metric for Structured Network Pruning Marco Ancona Cengiz Öztireli Markus Gross 67 9 0 02 Jun 2020
Evaluations and Methods for Explanation through Robustness Analysis Cheng-Yu Hsieh Chih-Kuan Yeh Xuanqing Liu Pradeep Ravikumar Seungyeon Kim Sanjiv Kumar Cho-Jui Hsieh XAI 70 58 0 31 May 2020
RelEx: A Model-Agnostic Relational Model Explainer Yue Zhang David DeFazio Arti Ramesh 57 110 0 30 May 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 110 271 0 29 May 2020
Assessing the validity of saliency maps for abnormality localization in medical imaging N. Arun N. Gaw Praveer Singh Ken Chang K. Hoebel J. Patel M. Gidwani Jayashree Kalpathy-Cramer 65 22 0 29 May 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 102 502 0 28 May 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 67 37 0 27 May 2020
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging Jitender Singh Virk Deepti R. Bathula 26 3 0 24 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 85 141 0 21 May 2020
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks Arash Rahnama A.-Yu Tseng FAtt AAML FaML 46 5 0 20 May 2020
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI J. Livezey Joshua I. Glaser AI4CE 100 9 0 19 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 77 67 0 18 May 2020
Reliable Local Explanations for Machine Listening Saumitra Mishra Emmanouil Benetos Bob L. T. Sturm S. Dixon AAML FAtt 46 21 0 15 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 95 174 0 14 May 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 90 133 0 13 May 2020
Towards Frequency-Based Explanation for Robust CNN Zifan Wang Yilin Yang Ankit Shrivastava Varun Rawal Zihao Ding AAML FAtt 57 49 0 06 May 2020
Interpretable Learning-to-Rank with Generalized Additive Models Honglei Zhuang Xuanhui Wang Michael Bendersky Alexander Grushetsky Yonghui Wu Petr Mitrichev Ethan Sterling Nathan Bell Walker Ravina Hai Qian AI4CE FAtt 86 12 0 06 May 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation Brendan Kennedy Xisen Jin Aida Mostafazadeh Davani Morteza Dehghani Xiang Ren 135 142 0 05 May 2020
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed MedIm 244 65 0 05 May 2020
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? Peter Hase Joey Tianyi Zhou FAtt 85 305 0 04 May 2020
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware? Marco Melis Michele Scalas Ambra Demontis Davide Maiorca Battista Biggio Giorgio Giacinto Fabio Roli AAML FAtt 56 28 0 04 May 2020
Explaining AI-based Decision Support Systems using Concept Localization Maps Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 72 27 0 04 May 2020
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models Kaiji Lu Piotr (Peter) Mardziel Klas Leino Matt Fredrikson Anupam Datta 81 10 0 03 May 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 112 227 0 01 May 2020
Towards Visually Explaining Video Understanding Networks with Perturbation Zhenqiang Li Weimin Wang Zuoyue Li Yifei Huang Yoichi Sato FAtt 38 3 0 01 May 2020
Hide-and-Seek: A Template for Explainable AI Thanos Tagaris A. Stafylopatis 26 6 0 30 Apr 2020
Attribution Analysis of Grammatical Dependencies in LSTMs Sophie Hao 39 3 0 30 Apr 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking Nicola De Cao Michael Schlichtkrull Wilker Aziz Ivan Titov 76 92 0 30 Apr 2020
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation David Wilmot Frank Keller 67 22 0 30 Apr 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 70 21 0 30 Apr 2020
WT5?! Training Text-to-Text Models to Explain their Predictions Sharan Narang Colin Raffel Katherine Lee Adam Roberts Noah Fiedel Karishma Malkan 82 201 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 120 382 0 30 Apr 2020