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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,872 papers shown

Title
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 67 7 0 30 Nov 2022
BARTSmiles: Generative Masked Language Models for Molecular Representations Gayane Chilingaryan Hovhannes Tamoyan Ani Tevosyan N. Babayan L. Khondkaryan Karen Hambardzumyan Zaven Navoyan Hrant Khachatrian Armen Aghajanyan SSL 111 28 0 29 Nov 2022
Towards More Robust Interpretation via Local Gradient Alignment Sunghwan Joo Seokhyeon Jeong Juyeon Heo Adrian Weller Taesup Moon FAtt 90 6 0 29 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 74 22 0 27 Nov 2022
Towards Improved Input Masking for Convolutional Neural Networks S. Balasubramanian Soheil Feizi AAML 72 4 0 26 Nov 2022
Privacy-Preserving Application-to-Application Authentication Using Dynamic Runtime Behaviors Mihai Christodorescu Maliheh Shirvanian Shams Zawoad 26 0 0 23 Nov 2022
Evaluating Feature Attribution Methods for Electrocardiogram J. Suh Jimyeong Kim Euna Jung Wonjong Rhee FAtt 52 2 0 23 Nov 2022
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations Alexander Binder Leander Weber Sebastian Lapuschkin G. Montavon Klaus-Robert Muller Wojciech Samek FAtt AAML 65 23 0 22 Nov 2022
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 107 29 0 22 Nov 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Poulami Sinhamahapatra Lena Heidemann Maureen Monnet Karsten Roscher 92 5 0 22 Nov 2022
Explaining Image Classifiers with Multiscale Directional Image Representation Stefan Kolek Robert Windesheim Héctor Andrade-Loarca Gitta Kutyniok Ron Levie 62 5 0 22 Nov 2022
Quantifying Human Bias and Knowledge to guide ML models during Training Hrishikesh Viswanath Andrey Shor Yoshimasa Kitaguchi 40 1 0 19 Nov 2022
Deep learning methods for drug response prediction in cancer: predominant and emerging trends A. Partin Thomas Brettin Yitan Zhu Oleksandr Narykov Austin R. Clyde Jamie Overbeek Department of Materials Science 76 60 0 18 Nov 2022
Reducing Hallucinations in Neural Machine Translation with Feature Attribution Joel Tang M. Fomicheva Lucia Specia HILM 66 7 0 17 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 99 4 0 17 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 107 20 0 17 Nov 2022
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 111 116 0 17 Nov 2022
Improving Interpretability via Regularization of Neural Activation Sensitivity Ofir Moshe Gil Fidel Ron Bitton A. Shabtai AAML AI4CE 52 4 0 16 Nov 2022
Using explainability to design physics-aware CNNs for solving subsurface inverse problems J. Crocker Krishna Kumar B. Cox 81 9 0 16 Nov 2022
Using Auxiliary Information for Person Re-Identification -- A Tutorial Overview Tharindu Fernando Clinton Fookes Sridha Sridharan Dana Michalski 40 0 0 15 Nov 2022
Model free variable importance for high dimensional data Naofumi Hama Masayoshi Mase Art B. Owen 90 1 0 15 Nov 2022
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 74 0 0 15 Nov 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan B. Dimanov Maleakhi A. Wijaya M. Jamnik Pietro Lio AAML 65 0 0 14 Nov 2022
A Rigorous Study Of The Deep Taylor Decomposition Leon Sixt Tim Landgraf FAtt AAML 48 4 0 14 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 93 1 0 12 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 125 19 0 10 Nov 2022
Understanding Text Classification Data and Models Using Aggregated Input Salience Sebastian Ebert Alice Shoshana Jakobovits Katja Filippova FAtt 97 3 0 10 Nov 2022
On the Privacy Risks of Algorithmic Recourse Martin Pawelczyk Himabindu Lakkaraju Seth Neel 86 31 0 10 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 82 4 0 09 Nov 2022
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning Yuanlong Li Gaopan Huang Min Zhou Chuan Fu Honglin Qiao Yan He 78 1 0 09 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? Saadia Gabriel Hamid Palangi Yejin Choi AAML 98 1 0 08 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 67 14 0 08 Nov 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 126 39 0 07 Nov 2022
ViT-CX: Causal Explanation of Vision Transformers Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 111 20 0 06 Nov 2022
Multilayer Perceptron Network Discriminates Larval Zebrafish Genotype using Behaviour Christopher Fusco Angel G Allen 66 0 0 06 Nov 2022
Knowledge is Power: Understanding Causality Makes Legal judgment Prediction Models More Generalizable and Robust Haotian Chen Lingwei Zhang Yiran Liu Fanchao Chen Yang Yu AILaw ELM 61 6 0 06 Nov 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates Dongfang Li Baotian Hu Qingcai Chen 53 8 0 06 Nov 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora AAML FAtt XAI 67 8 0 05 Nov 2022
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria Theresa Bender J. Beinecke D. Krefting Carolin Müller Henning Dathe T. Seidler Nicolai Spicher Anne-Christin Hauschild FAtt 36 29 0 03 Nov 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales Peifeng Wang Aaron Chan Filip Ilievski Muhao Chen Xiang Ren LRM ReLM 117 65 0 03 Nov 2022
eXplainable AI for Quantum Machine Learning Patrick Steinmüller Tobias Schulz Ferdinand Graf Daniel Herr 65 14 0 02 Nov 2022
Verifying And Interpreting Neural Networks using Finite Automata Marco Sälzer Eric Alsmann Florian Bruse M. Lange AAML 103 3 0 02 Nov 2022
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US Gil Semo Dor Bernsohn Ben Hagag Gila Hayat Joel Niklaus AILaw ELM 107 20 0 01 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning Jennifer She Jayesh K. Gupta Mykel J. Kochenderfer 65 7 0 31 Oct 2022
Trade-off Between Efficiency and Consistency for Removal-based Explanations Yifan Zhang Haowei He Zhiyuan Tan Yang Yuan FAtt 104 4 0 31 Oct 2022
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability Dipkamal Bhusal Rosalyn Shin Ajay Ashok Shewale M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi FAtt AAML 92 5 0 31 Oct 2022
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks Yong-Min Shin Sun-Woo Kim Won-Yong Shin 90 7 0 31 Oct 2022
Poison Attack and Defense on Deep Source Code Processing Models Jia Li Zhuo Li Huangzhao Zhang Ge Li Zhi Jin Xing Hu Xin Xia AAML 69 19 0 31 Oct 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models Dong-Ho Lee Akshen Kadakia Brihi Joshi Aaron Chan Ziyi Liu ... Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren LRM 81 9 0 30 Oct 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 64 25 0 30 Oct 2022