Papers citing 'Evaluations and Methods for Explanation through Robustness Analysis'

Title
Learning Conformal Explainers for Image Classifiers Amr Alkhatib Stephanie Lowry FAtt 176 0 0 25 Sep 2025
On the Fragility of Contribution Score Computation in Federated Learning Balazs Pejo Marcell Frank Krisztian Varga Peter Veliczky G. Biczók FedML 135 0 0 24 Sep 2025
Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents Xinyuan Yan Rita Sevastjanova Sinie van der Ben Mennatallah El-Assady Bei Wang 143 1 0 24 Jul 2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models Thomas Fel Ekdeep Singh Lubana Jacob S. Prince M. Kowal Victor Boutin Isabel Papadimitriou Binxu Wang Martin Wattenberg Demba Ba Talia Konkle 203 23 0 18 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 268 22 0 06 Feb 2025
Faithfulness and the Notion of Adversarial Sensitivity in NLP ExplanationsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2024 Supriya Manna Niladri Sett AAML 268 3 0 26 Sep 2024
Hard to Explain: On the Computational Hardness of In-Distribution Model InterpretationEuropean Conference on Artificial Intelligence (ECAI), 2024 Guy Amir Shahaf Bassan Guy Katz 182 7 0 07 Aug 2024
Explainable Image Recognition via Enhanced Slot-attention Based Classifier Bowen Wang Liangzhi Li Jiahao Zhang Yuta Nakashima Hajime Nagahara OCL 308 1 0 08 Jul 2024
Large Language Models are Interpretable Learners Ruochen Wang Si Si Felix X. Yu Dorothea Wiesmann Cho-Jui Hsieh Inderjit Dhillon 265 6 0 25 Jun 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 238 1 0 17 Jun 2024
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning Eura Nofshin Esther Brown Brian Lim Weiwei Pan Finale Doshi-Velez 232 1 0 31 May 2024
Challenges and Opportunities in Text Generation Explainability Kenza Amara Rita Sevastjanova Mennatallah El-Assady SILM 155 3 0 14 May 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations Hanxiao Tan 180 2 0 26 Jan 2024
Explaining Time Series via Contrastive and Locally Sparse PerturbationsInternational Conference on Learning Representations (ICLR), 2024 Zichuan Liu Yingying Zhang Tianchun Wang Zefan Wang Dongsheng Luo ... Min Wu Yi Wang Chunlin Chen Lunting Fan Qingsong Wen 306 19 0 16 Jan 2024
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training Dongfang Li Baotian Hu Qingcai Chen Shan He 231 7 0 29 Dec 2023
SmoothHess: ReLU Network Feature Interactions via Stein's LemmaNeural Information Processing Systems (NeurIPS), 2023 Max Torop A. Masoomi Davin Hill Kivanc Kose Stratis Ioannidis Jennifer Dy 252 7 0 01 Nov 2023
The Blame Problem in Evaluating Local Explanations, and How to Tackle it Amir Hossein Akhavan Rahnama ELM FAtt 217 6 0 05 Oct 2023
Towards Robust Fidelity for Evaluating Explainability of Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Xu Zheng Farhad Shirani Tianchun Wang Wei Cheng Zhuomin Chen Haifeng Chen Hua Wei Dongsheng Luo 216 15 0 03 Oct 2023
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations Kenza Amara Mennatallah El-Assady Rex Ying 144 6 0 28 Sep 2023
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based TestingConference on Computer and Communications Security (CCS), 2023 Jinwen He Kai Chen Guozhu Meng Jiangshan Zhang Congyi Li FAtt AAML 203 3 0 09 Sep 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance EstimationNeural Information Processing Systems (NeurIPS), 2023 Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 263 79 0 11 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior ConsistencyNeural Information Processing Systems (NeurIPS), 2023 Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 250 32 0 03 Jun 2023
Faithfulness Tests for Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Pepa Atanasova Oana-Maria Camburu Christina Lioma Thomas Lukasiewicz J. Simonsen Isabelle Augenstein FAtt 301 83 0 29 May 2023
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision ModelsNeural Networks (Neural Netw.), 2023 Guoyang Liu Jindi Zhang Antoni B. Chan J. H. Hsiao 201 32 0 05 May 2023
Interpreting Robustness Proofs of Deep Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Debangshu Banerjee Avaljot Singh Gagandeep Singh AAML 125 6 0 31 Jan 2023
CRAFT: Concept Recursive Activation FacTorization for ExplainabilityComputer Vision and Pattern Recognition (CVPR), 2022 Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 258 159 0 17 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 329 23 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 190 8 0 09 Nov 2022
Boundary-Aware Uncertainty for Feature Attribution ExplainersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Davin Hill A. Masoomi Max Torop S. Ghimire Jennifer Dy FAtt 370 7 0 05 Oct 2022
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness Ya-Hsin Cheng Lihao Liu Shujun Wang Yueming Jin Carola-Bibiane Schönlieb Angelica I. Aviles-Rivero 134 7 0 18 Sep 2022
Concept Gradient: Concept-based Interpretation Without Linear AssumptionInternational Conference on Learning Representations (ICLR), 2022 Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil Y. C. Lin Cho-Jui Hsieh 117 22 0 31 Aug 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AIAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022 Q. V. Liao Yunfeng Zhang Ronny Luss Finale Doshi-Velez Amit Dhurandhar 212 91 0 22 Jun 2022
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport PerspectiveNeural Information Processing Systems (NeurIPS), 2022 M. Serrurier Franck Mamalet Thomas Fel Louis Bethune Thibaut Boissin AAML FAtt 315 8 0 14 Jun 2022
Xplique: A Deep Learning Explainability Toolbox Thomas Fel Lucas Hervier David Vigouroux Antonin Poché Justin Plakoo ... Agustin Picard C. Nicodeme Laurent Gardes G. Flandin Thomas Serre 168 40 0 09 Jun 2022
Deletion and Insertion Tests in Regression ModelsJournal of machine learning research (JMLR), 2022 Naofumi Hama Masayoshi Mase Art B. Owen 270 12 0 25 May 2022
Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths Amir Hossein Akhavan Rahnama Judith Butepage XAI FAtt 109 0 0 04 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 195 30 0 25 Feb 2022
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation AnalysisComputer Vision and Pattern Recognition (CVPR), 2022 Thomas Fel Mélanie Ducoffe David Vigouroux Rémi Cadène Mikael Capelle C. Nicodeme Thomas Serre AAML 199 46 0 15 Feb 2022
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability MethodsNeural Information Processing Systems (NeurIPS), 2021 Julien Colin Thomas Fel Rémi Cadène Thomas Serre 284 118 0 06 Dec 2021
On Locality of Local Explanation Models Sahra Ghalebikesabi Lucile Ter-Minassian Karla Diaz-Ordaz Chris Holmes FedML FAtt 124 44 0 24 Jun 2021
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier DecisionsFuture generations computer systems (FGCS), 2021 Martin Charachon P. Cournède C´eline Hudelot R. Ardon 77 6 0 21 Jun 2021
Evaluating Local Explanations using White-box Models Amir Hossein Akhavan Rahnama Judith Butepage Pierre Geurts Henrik Bostrom FAtt 187 0 0 04 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance ExplanationsNeural Information Processing Systems (NeurIPS), 2021 Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 281 100 0 01 Jun 2021
Where and When: Space-Time Attention for Audio-Visual Explanations Yanbei Chen Thomas Hummel A. Sophia Koepke Zeynep Akata 111 4 0 04 May 2021
On the Sensitivity and Stability of Model Interpretations in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 183 33 0 18 Apr 2021
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image ClassificationInternational Conference on Pattern Recognition (ICPR), 2020 Martin Charachon C´eline Hudelot P. Cournède Camille Ruppli R. Ardon AAML GAN FAtt MedIm 111 7 0 14 Dec 2020
Explaining with Counter Visual Attributes and ExamplesInternational Conference on Multimedia Retrieval (ICMR), 2020 Sadaf Gulshad A. Smeulders XAI FAtt AAML 119 15 0 27 Jan 2020
Understanding Misclassifications by Attributes Sadaf Gulshad Zeynep Akata J. H. Metzen A. Smeulders AAML 145 0 0 15 Oct 2019