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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
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification Agus Sudjianto William Knauth Rahul Singh Zebin Yang Aijun Zhang FAtt 69 46 0 08 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods Ian Covert Scott M. Lundberg Su-In Lee FAtt 138 34 0 06 Nov 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 96 16 0 06 Nov 2020
Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs Emma Rocheteau Doyoon Kim MedIm 25 4 0 06 Nov 2020
Explainable AI meets Healthcare: A Study on Heart Disease Dataset Devam Dave Het Naik Smiti Singhal Pankesh Patel 55 64 0 06 Nov 2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering Quan Hung Tran Nhan Dam T. Lai Franck Dernoncourt Trung Le Nham Le Dinh Q. Phung FAtt 38 4 0 05 Nov 2020
Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction Ethan M. Rudd Ahmed Abdallah 55 5 0 05 Nov 2020
Learning and Evaluating Representations for Deep One-class Classification Kihyuk Sohn Chun-Liang Li Jinsung Yoon Minho Jin Tomas Pfister SSL 179 203 0 04 Nov 2020
A BERT-based Dual Embedding Model for Chinese Idiom Prediction Minghuan Tan Jing Jiang 50 8 0 04 Nov 2020
Influence Patterns for Explaining Information Flow in BERT Kaiji Lu Zifan Wang Piotr (Peter) Mardziel Anupam Datta GNN 105 16 0 02 Nov 2020
Machine versus Human Attention in Deep Reinforcement Learning Tasks Sihang Guo Ruohan Zhang Bo Liu Yifeng Zhu M. Hayhoe D. Ballard Peter Stone OffRL 101 28 0 29 Oct 2020
Attribution Preservation in Network Compression for Reliable Network Interpretation Geondo Park J. Yang Sung Ju Hwang Eunho Yang 57 5 0 28 Oct 2020
Technical Note: Game-Theoretic Interactions of Different Orders Hao Zhang Xu Cheng Yiting Chen Quanshi Zhang 79 15 0 28 Oct 2020
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions Jiaxuan Wang Jenna Wiens Scott M. Lundberg FAtt 129 90 0 27 Oct 2020
Interpretation of NLP models through input marginalization Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 94 60 0 27 Oct 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions Aya Abdelsalam Ismail Mohamed K. Gunady H. C. Bravo Soheil Feizi XAI AI4TS FAtt 72 174 0 26 Oct 2020
Bayesian Importance of Features (BIF) Kamil Adamczewski Frederik Harder Mijung Park FAtt 36 2 0 26 Oct 2020
Investigating Saturation Effects in Integrated Gradients Vivek Miglani Narine Kokhlikyan B. Alsallakh Miguel Martin Orion Reblitz-Richardson FAtt 111 26 0 23 Oct 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 84 68 0 22 Oct 2020
A Multilinear Sampling Algorithm to Estimate Shapley Values Ramin Okhrati Aldo Lipani TDI FAtt 139 43 0 22 Oct 2020
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation Elena Voita Rico Sennrich Ivan Titov 87 86 0 21 Oct 2020
TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog Erik Ekstedt Gabriel Skantze 94 59 0 21 Oct 2020
The Need for Standardized Explainability Othman Benchekroun Adel Rahimi Qini Zhang Tetiana Kodliuk XAI 55 8 0 20 Oct 2020
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability Jason Phang Jungkyu Park Krzysztof J. Geras FAtt AAML 250 8 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 114 406 0 19 Oct 2020
Towards Interpreting BERT for Reading Comprehension Based QA Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra 94 30 0 18 Oct 2020
Evaluating Attribution Methods using White-Box LSTMs Sophie Hao FAtt XAI 66 8 0 16 Oct 2020
Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case Amnon Catav Boyang Fu J. Ernst S. Sankararaman Ran Gilad-Bachrach FAtt 57 3 0 15 Oct 2020
FAR: A General Framework for Attributional Robustness Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard OOD 90 22 0 14 Oct 2020
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 52 10 0 14 Oct 2020
Geometry matters: Exploring language examples at the decision boundary Debajyoti Datta Shashwat Kumar Laura E. Barnes Tom Fletcher AAML 45 3 0 14 Oct 2020
Learning Propagation Rules for Attribution Map Generation Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang FAtt 71 17 0 14 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Leilei Gan Jiwei Li FAtt 78 10 0 14 Oct 2020
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering Hendrik Schuff Heike Adel Ngoc Thang Vu ELM 65 18 0 13 Oct 2020
Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties Anke Stoll P. Benner AI4CE 62 66 0 12 Oct 2020
Embedded methods for feature selection in neural networks K. VinayVarma 36 8 0 12 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 111 179 0 12 Oct 2020
Gradient-based Analysis of NLP Models is Manipulable Junlin Wang Jens Tuyls Eric Wallace Sameer Singh AAML FAtt 80 60 0 12 Oct 2020
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions Zhengxian Lin Kim-Ho Lam Alan Fern SSL 79 24 0 11 Oct 2020
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series Vincent Jacob Fei Song Arnaud Stiegler Bijan Rad Y. Diao Nesime Tatbul AI4TS 100 68 0 10 Oct 2020
Interpreting Multivariate Shapley Interactions in DNNs Hao Zhang Yichen Xie Longjie Zheng Die Zhang Quanshi Zhang TDI FAtt 90 7 0 10 Oct 2020
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 74 49 0 09 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 143 96 0 08 Oct 2020
IS-CAM: Integrated Score-CAM for axiomatic-based explanations Rakshit Naidu Ankita Ghosh Yash Maurya K. ShamanthRNayak Soumya Snigdha Kundu FAtt 121 46 0 06 Oct 2020
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays Shehroz S. Khan Faraz Khoshbakhtian A. Ashraf 29 7 0 06 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models Yuhki Hatakeyama Hiroki Sakuma Yoshinori Konishi Kohei Suenaga FAtt 64 3 0 06 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 104 97 0 05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 83 47 0 04 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 110 26 0 04 Oct 2020