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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,873 papers shown

Title
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking Tianyi Luo Rui Meng Xinze Wang Yongxu Liu 59 4 0 28 Mar 2022
Core Risk Minimization using Salient ImageNet Sahil Singla Mazda Moayeri Soheil Feizi 88 14 0 28 Mar 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics Yipei Wang Xiaoqian Wang XAI 65 7 0 27 Mar 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 64 19 0 27 Mar 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 77 28 0 25 Mar 2022
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns C. Poelking G. Chessari C. Murray Richard J. Hall Lucy J. Colwell M. Verdonk 31 6 0 25 Mar 2022
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition Jules Bonnard Arnaud Dapogny F. Dhombres Kévin Bailly CVBM 67 8 0 24 Mar 2022
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals Simon Vandenhende D. Mahajan Filip Radenovic Deepti Ghadiyaram 76 30 0 24 Mar 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen Yangfeng Ji OOD AAML VLM 101 21 0 23 Mar 2022
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection Tulika Bose Nikolaos Aletras Irina Illina Dominique Fohr 96 5 0 23 Mar 2022
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations Steven Hicks A. Storaas Michael Riegler Cise Midoglu Malek Hammou Thomas de Lange Sravanthi Parasa Pål Halvorsen Inga Strümke XAI FAtt 44 4 0 23 Mar 2022
An Empirical Study of Memorization in NLP Xiaosen Zheng Jing Jiang TDI 88 25 1 23 Mar 2022
Exploring High-Order Structure for Robust Graph Structure Learning Guangqian Yang Yibing Zhan Jinlong Li Baosheng Yu Liu Liu Fengxiang He AAML 108 0 0 22 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 76 20 0 21 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications Jovze M. Rovzanec I. Novalija Patrik Zajec K. Kenda Hooman Tavakoli ... G. Sofianidis Spyros Theodoropoulos Blavz Fortuna Dunja Mladenić John Soldatos 3DV AI4CE 79 137 0 21 Mar 2022
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language Soumya Sanyal Harman Singh Xiang Ren ReLM LRM 106 46 0 19 Mar 2022
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation Yu Yao C. Cao S. Haas Mahak Agarwal Divya Khanna M. Abram 146 4 0 19 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 93 8 0 17 Mar 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies Lukas M. Schmidt Sebastian Rietsch Axel Plinge Bjoern M. Eskofier Christopher Mutschler OffRL 78 5 0 16 Mar 2022
Modular and Parameter-Efficient Multimodal Fusion with Prompting Sheng Liang Mengjie Zhao Hinrich Schütze 98 45 0 15 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement Leander Weber Sebastian Lapuschkin Alexander Binder Wojciech Samek 109 103 0 15 Mar 2022
Rethinking Stability for Attribution-based Explanations Chirag Agarwal Nari Johnson Martin Pawelczyk Satyapriya Krishna Eshika Saxena Marinka Zitnik Himabindu Lakkaraju FAtt 91 54 0 14 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series Christoffer Loeffler Wei-Cheng Lai Bjoern M. Eskofier Dario Zanca Lukas M. Schmidt Christopher Mutschler AI4TS FAtt 78 6 0 14 Mar 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? Weina Jin Xiaoxiao Li Ghassan Hamarneh 52 52 0 12 Mar 2022
Protein Representation Learning by Geometric Structure Pretraining Zuobai Zhang Minghao Xu Arian R. Jamasb Vijil Chenthamarakshan A. Lozano Payel Das Jian Tang SSL 141 234 0 11 Mar 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD) Johanna Vielhaben Stefan Blücher Nils Strodthoff 67 6 0 11 Mar 2022
Visualizing and Understanding Patch Interactions in Vision Transformer Jie Ma Yalong Bai Bineng Zhong Wei Zhang Ting Yao Tao Mei ViT 64 36 0 11 Mar 2022
Font Shape-to-Impression Translation Masaya Ueda Akisato Kimura S. Uchida AI4CE 55 3 0 11 Mar 2022
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks Fawaz Sammani Tanmoy Mukherjee Nikos Deligiannis MILM ELM LRM 138 68 0 09 Mar 2022
Measuring the Mixing of Contextual Information in the Transformer Javier Ferrando Gerard I. Gállego Marta R. Costa-jussá 103 57 0 08 Mar 2022
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks L. Brocki N. C. Chung AAML 60 4 0 06 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors Jihye Choi Jayaram Raghuram Ryan Feng Jiefeng Chen S. Jha Atul Prakash OODD 40 12 0 04 Mar 2022
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box Catarina Moreira Yu-Liang Chou Chih-Jou Hsieh Chun Ouyang Joaquim A. Jorge João Pereira CML 106 9 0 04 Mar 2022
Do Explanations Explain? Model Knows Best Ashkan Khakzar Pedram J. Khorsandi Rozhin Nobahari Nassir Navab XAI AAML FAtt 38 24 0 04 Mar 2022
Label-Free Explainability for Unsupervised Models Jonathan Crabbé M. Schaar FAtt MILM 67 22 0 03 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks Mohammad Mahdi Dehshibi Mona Ashtari-Majlan Gereziher W. Adhane David Masip AAML FAtt 60 3 0 02 Mar 2022
Controlling the Focus of Pretrained Language Generation Models Jiabao Ji Yoon Kim James R. Glass Tianxing He 121 5 0 02 Mar 2022
Approximating a deep reinforcement learning docking agent using linear model trees Vilde B. Gjærum Ella-Lovise H. Rørvik A. Lekkas 48 6 0 01 Mar 2022
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization Vilde B. Gjærum Inga Strümke O. Alsos A. Lekkas FAtt 73 16 0 01 Mar 2022
An Empirical Study on Explanations in Out-of-Domain Settings G. Chrysostomou Nikolaos Aletras LRM 69 28 0 28 Feb 2022
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task Maria Mahbub Sudarshan Srinivasan Edmon Begoli Gregory D. Peterson 87 11 0 26 Feb 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Lizhen Qu Chuan Zhou Shirui Pan AAML 96 24 0 25 Feb 2022
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs Zhenxing Zhang Lambert Schomaker 73 6 0 25 Feb 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 65 0 0 25 Feb 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 85 27 0 25 Feb 2022
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations Chih-Kuan Yeh Kuan-Yun Lee Frederick Liu Pradeep Ravikumar FAtt TDI 65 9 0 24 Feb 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions Daniel Lundstrom Tianjian Huang Meisam Razaviyayn FAtt 110 70 0 24 Feb 2022
First is Better Than Last for Language Data Influence Chih-Kuan Yeh Ankur Taly Mukund Sundararajan Frederick Liu Pradeep Ravikumar TDI 146 22 0 24 Feb 2022
Blind Reverberation Time Estimation in Dynamic Acoustic Conditions Philipp Götz Cagdas Tuna Andreas Walther Emanuel Habets 66 14 0 23 Feb 2022
Deep Learning Reproducibility and Explainable AI (XAI) Anastasia-Maria Leventi-Peetz T. Östreich 59 9 0 23 Feb 2022