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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
XFedHunter: An Explainable Federated Learning Framework for Advanced Persistent Threat Detection in SDN Huynh Thai Thi Ngo Duc Hoang Son Phan The Duy Nghi Hoang Khoa Khoa Ngo-Khanh V. Pham FedML 55 4 0 15 Sep 2023
Explaining Search Result Stances to Opinionated People Zhangyi Wu Tim Draws Federico Maria Cau Francesco Barile Alisa Rieger N. Tintarev 55 2 0 15 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 138 12 0 15 Sep 2023
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration Rachneet Sachdeva Martin Tutek Iryna Gurevych OODD 102 13 0 14 Sep 2023
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features Eliana Pastor Alkis Koudounas Giuseppe Attanasio Dirk Hovy Elena Baralis 105 6 0 14 Sep 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 277 8 0 14 Sep 2023
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning Yi Wang C. Albrecht Nassim Ait Ali Braham Chenying Liu Zhitong Xiong Xiaoxiang Zhu SSL 97 19 0 11 Sep 2023
HAT: Hybrid Attention Transformer for Image Restoration Xiangyu Chen Xintao Wang Wenlong Zhang Xiangtao Kong Yu Qiao Jiantao Zhou Chao Dong 101 53 0 11 Sep 2023
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing Jinwen He Kai Chen Guozhu Meng Jiangshan Zhang Congyi Li FAtt AAML 78 3 0 09 Sep 2023
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction M. Wenzel Erik Grüner Nils Strodthoff ViT 73 9 0 07 Sep 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis Stephan Alaniz Massimiliano Mancini C. Dantas Dino Ienco Zeynep Akata Diego Marcos 95 12 0 06 Sep 2023
Bias Propagation in Federated Learning Hong Chang Reza Shokri FedML 71 13 0 05 Sep 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 64 13 0 05 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments James Enouen Tianshu Sun Yan Liu FaML 67 0 0 04 Sep 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 87 8 0 04 Sep 2023
On the Consistency and Robustness of Saliency Explanations for Time Series Classification Chiara Balestra Bin Li Emmanuel Muller FAtt XAI AAML AI4TS 42 2 0 04 Sep 2023
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training Shuai Jiang Sayaka Kamei Chen Li Shengzhe Hou Yasuhiko Morimoto SSL 30 1 0 03 Sep 2023
Explainability for Large Language Models: A Survey Haiyan Zhao Hanjie Chen Fan Yang Ninghao Liu Huiqi Deng Hengyi Cai Shuaiqiang Wang D. Yin Jundong Li LRM 108 472 0 02 Sep 2023
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing Daniel Siegismund Mario Wieser S. Heyse Stephan Steigele 66 1 0 31 Aug 2023
Unsupervised Text Style Transfer with Deep Generative Models Zhongtao Jiang Yuanzhe Zhang Yiming Ju Kang Liu 80 0 0 31 Aug 2023
Unsupervised discovery of Interpretable Visual Concepts Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman FAtt 58 2 0 31 Aug 2023
Deep Video Codec Control for Vision Models Christoph Reich Biplob K. Debnath Deep Patel Tim Prangemeier Daniel Cremers S. Chakradhar 96 1 0 30 Aug 2023
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations Chetraj Pandey Anli Ji Trisha Nandakumar R. Angryk Berkay Aydin 54 6 0 30 Aug 2023
Multimodal Contrastive Learning and Tabular Attention for Automated Alzheimer's Disease Prediction Weichen Huang 66 13 0 29 Aug 2023
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification Felipe Moreno-Vera E. Medina Jorge Poco 49 2 0 29 Aug 2023
Goodhart's Law Applies to NLP's Explanation Benchmarks Jennifer Hsia Danish Pruthi Aarti Singh Zachary Chase Lipton 79 6 0 28 Aug 2023
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series Chaoqun Wang Yijun Li Xiangqian Sun Qi Wu DongDong Wang Zhixiang Huang FAtt AI4TS 73 2 0 26 Aug 2023
i-Align: an interpretable knowledge graph alignment model Bayu Distiawan Trisedya Flora D. Salim Jeffrey Chan Damiano Spina Falk Scholer Mark Sanderson 93 8 0 26 Aug 2023
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons Yuheng Chen Pengfei Cao Yubo Chen Kang Liu Jun Zhao KELM 95 49 0 25 Aug 2023
Measuring Spurious Correlation in Classification: 'Clever Hans' in Translationese Angana Borah Daria Pylypenko C. España-Bonet Josef van Genabith 59 5 0 25 Aug 2023
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions Kwan Ho Ryan Chan Aditya Chattopadhyay B. Haeffele René Vidal 59 0 0 24 Aug 2023
Can Authorship Representation Learning Capture Stylistic Features? Andrew Wang Cristina Aggazzotti R. Kotula Rafael Rivera Soto M. Bishop Nicholas Andrews AI4TS 74 14 0 22 Aug 2023
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation M. Maruf Arka Daw Amartya Dutta Jie Bu Anuj Karpatne 101 0 0 21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 115 44 0 20 Aug 2023
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes Yosuke Miyanishi Minh Le Nguyen 97 2 0 19 Aug 2023
Finding emergence in data by maximizing effective information Mingzhe Yang Zhipeng Wang Kaiwei Liu Ying Rong Bing Yuan Jiang Zhang CML 58 6 0 19 Aug 2023
Dissecting RGB-D Learning for Improved Multi-modal Fusion Hao Chen Hao Zhou Yunshu Zhang Zheng Lin Yongjian Deng 127 1 0 19 Aug 2023
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box Yingcheng Cai Gerhard Wunder FAtt 46 0 0 18 Aug 2023
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks Fawaz Sammani Nikos Deligiannis 53 5 0 17 Aug 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods Yawei Li Yanglin Zhang Kenji Kawaguchi Ashkan Khakzar Bernd Bischl Mina Rezaei FAtt XAI 94 0 0 17 Aug 2023
Learning to Identify Critical States for Reinforcement Learning from Videos Haozhe Liu Mingchen Zhuge Bing Li Yu‐Han Wang Francesco Faccio Guohao Li Jürgen Schmidhuber OffRL 82 10 0 15 Aug 2023
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis Po--Jui Lu Benjamin Odry M. Barakovic Matthias Weigel Robin Sandkühler ... Mario Ocampo Pineda J. Kuhle L. Kappos Philippe C. Cattin Cristina Granziera 56 0 0 15 Aug 2023
BSED: Baseline Shapley-Based Explainable Detector Michihiro Kuroki T. Yamasaki FAtt AAML 49 4 0 14 Aug 2023
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading Evan Crothers H. Viktor Nathalie Japkowicz AAML 68 1 0 13 Aug 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 86 34 0 11 Aug 2023
Revisiting N-CNN for Clinical Practice Leonardo Antunes Ferreira L. Carlini Gabriel A. S. Coutrin T. M. Heideirich Marina C. M. Barros R. Guinsburg C.E.P. Thomaz 27 0 0 10 Aug 2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis Yiling He Jian Lou Zhan Qin Kui Ren FAtt AAML 70 10 0 10 Aug 2023
Decoding Layer Saliency in Language Transformers Elizabeth M. Hou Greg Castañón MILM 69 0 0 09 Aug 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference Edouard Yvinec Arnaud Dapogny Kévin Bailly Xavier Fischer AAML 85 2 0 09 Aug 2023
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution T. Idé Naoki Abe 67 6 0 09 Aug 2023