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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
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks Ian E. Nielsen Dimah Dera Ghulam Rasool N. Bouaynaya R. Ramachandran FAtt 82 82 0 23 Jul 2021
LocalGLMnet: interpretable deep learning for tabular data Ronald Richman M. Wüthrich LMTD FAtt 82 32 0 23 Jul 2021
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior Angie Boggust Benjamin Hoover Arvindmani Satyanarayan Hendrik Strobelt 73 52 0 20 Jul 2021
Adaptive wavelet distillation from neural networks through interpretations Wooseok Ha Chandan Singh F. Lanusse Srigokul Upadhyayula Bin Yu 59 41 0 19 Jul 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI T. Miura Satoshi Hasegawa Toshiki Shibahara SILM MIACV 86 39 0 19 Jul 2021
Attribution of Predictive Uncertainties in Classification Models Iker Perez Piotr Skalski Alec E. Barns-Graham Jason Wong David Sutton UQCV 84 6 0 19 Jul 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis Xingbo Wang Jianben He Zhihua Jin Muqiao Yang Yong Wang Huamin Qu 102 80 0 17 Jul 2021
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 164 134 0 15 Jul 2021
From Show to Tell: A Survey on Deep Learning-based Image Captioning Matteo Stefanini Marcella Cornia Lorenzo Baraldi S. Cascianelli G. Fiameni Rita Cucchiara 3DV VLM MLLM 158 270 0 14 Jul 2021
Fairness-aware Summarization for Justified Decision-Making Moniba Keymanesh T. Berger-Wolf Micha Elsner Srinivasan Parthasarathy 48 5 0 13 Jul 2021
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data Sebastian Polsterl Christina Aigner Christian Wachinger FAtt 43 4 0 13 Jul 2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 82 10 0 12 Jul 2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning Michael Moor Nicolas Bennet Drago Plečko Max Horn Bastian Rieck N. Meinshausen Peter Buhlmann Karsten Borgwardt 48 6 0 12 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 122 44 0 07 Jul 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 65 93 0 07 Jul 2021
A Review of Explainable Artificial Intelligence in Manufacturing G. Sofianidis Jože M. Rožanec Dunja Mladenić D. Kyriazis 84 17 0 05 Jul 2021
Improving a neural network model by explanation-guided training for glioma classification based on MRI data Frantisek Sefcik Wanda Benesova 41 12 0 05 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 99 14 0 05 Jul 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 104 51 0 05 Jul 2021
Certifiably Robust Interpretation via Renyi Differential Privacy Ao Liu Xiaoyu Chen Sijia Liu Lirong Xia Chuang Gan AAML 64 14 0 04 Jul 2021
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning Ushnish Sengupta Günther Waxenegger-Wilfing Jan M. Martin J. Hardi M. Juniper 13 8 0 01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 169 101 0 01 Jul 2021
VideoLightFormer: Lightweight Action Recognition using Transformers Raivo Koot Haiping Lu ViT 118 6 0 01 Jul 2021
Towards Measuring Bias in Image Classification Nina Schaaf Omar de Mitri Hang Beom Kim A. Windberger Marco F. Huber SSL 59 10 0 01 Jul 2021
Combining Feature and Instance Attribution to Detect Artifacts Pouya Pezeshkpour Sarthak Jain Sameer Singh Byron C. Wallace TDI 127 42 0 01 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 106 48 0 01 Jul 2021
On the Interaction of Belief Bias and Explanations Ana Valeria González Anna Rogers Anders Søgaard FAtt 80 19 0 29 Jun 2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy Vignesh Srinivasan Nils Strodthoff Jackie Ma Alexander Binder Klaus-Robert Muller Wojciech Samek OOD 78 6 0 25 Jun 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 107 66 0 24 Jun 2021
On Locality of Local Explanation Models Sahra Ghalebikesabi Lucile Ter-Minassian Karla Diaz-Ordaz Chris Holmes FedML FAtt 73 40 0 24 Jun 2021
Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods Xianlong Zeng Fanghao Song Zhongen Li Krerkkiat Chusap Chang Liu 24 7 0 24 Jun 2021
Evaluation of Saliency-based Explainability Method Sam Zabdiel Sunder Samuel V. Kamakshi Namrata Lodhi N. C. Krishnan FAtt XAI 56 12 0 24 Jun 2021
IA-RED $^2$ : Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan Yikang Shen Yi Ding Zhangyang Wang Rogerio Feris A. Oliva VLM ViT 150 165 0 23 Jun 2021
Feature Attributions and Counterfactual Explanations Can Be Manipulated Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 36 6 0 23 Jun 2021
Learning Explainable Representations of Malware Behavior Paul Prasse J. Brabec J. Kohout Martin Kopp L. Bajer Tobias Scheffer AAML 60 4 0 23 Jun 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 140 784 0 22 Jun 2021
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions Martin Charachon P. Cournède C´eline Hudelot R. Ardon 47 5 0 21 Jun 2021
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian 65 56 0 20 Jun 2021
Neural network interpretability for forecasting of aggregated renewable generation Y. Lu Ilgiz Murzakhanov Spyros Chatzivasileiadis 33 10 0 19 Jun 2021
NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights Kirill Bykov Anna Hedström Shinichi Nakajima Marina M.-C. Höhne FAtt 95 35 0 18 Jun 2021
It's FLAN time! Summing feature-wise latent representations for interpretability An-phi Nguyen María Rodríguez Martínez FAtt 37 0 0 18 Jun 2021
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis Martin Pawelczyk Chirag Agarwal Shalmali Joshi Sohini Upadhyay Himabindu Lakkaraju AAML 82 53 0 18 Jun 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise A. Kapishnikov Subhashini Venugopalan Besim Avci Benjamin D. Wedin Michael Terry Tolga Bolukbasi 122 95 0 17 Jun 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 77 53 0 16 Jun 2021
Model-Based Counterfactual Synthesizer for Interpretation Fan Yang Sahan Suresh Alva Jiahao Chen X. Hu 47 31 0 16 Jun 2021
Best of both worlds: local and global explanations with human-understandable concepts Jessica Schrouff Sebastien Baur Shaobo Hou Diana Mincu Eric Loreaux Ralph Blanes James Wexler Alan Karthikesalingam Been Kim FAtt 109 28 0 16 Jun 2021
Keep CALM and Improve Visual Feature Attribution Jae Myung Kim Junsuk Choe Zeynep Akata Seong Joon Oh FAtt 480 20 0 15 Jun 2021
Model Explainability in Deep Learning Based Natural Language Processing Shafie Gholizadeh Nengfeng Zhou 59 20 0 14 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 107 22 0 13 Jun 2021
Local Explanation of Dialogue Response Generation Yi-Lin Tuan Connor Pryor Wenhu Chen Lise Getoor Wenjie Wang 86 12 0 11 Jun 2021