Title
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series ClassificationInternational Conference on Machine Learning and Applications (ICMLA), 2023 Jacqueline Höllig Steffen Thoma Florian Grimm AI4TS 216 2 0 23 Oct 2023
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning Thomas Decker Michael Lebacher Volker Tresp 109 15 0 19 Oct 2023
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration ConceptsInternational Conference on Industrial Informatics (INDIN), 2023 Thomas Decker Michael Lebacher Volker Tresp FAtt 143 2 0 17 Oct 2023
Scene Text Recognition Models Explainability Using Local Features M. Ty Rowel Atienza 162 2 0 14 Oct 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 270 18 0 09 Oct 2023
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort AdvertisementsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 V. Saxena Benjamin Bashpole Gijs Van Dijck Gerasimos Spanakis 233 5 0 09 Oct 2023
SPADE: Sparsity-Guided Debugging for Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Arshia Soltani Moakhar Eugenia Iofinova Elias Frantar Dan Alistarh 270 2 0 06 Oct 2023
AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy Nils Friederich Angelo Jovin Yamachui Sitcheu Oliver Neumann Süheyla Eroglu-Kayikçi Roshan Prizak Lennart Hilbert Ralf Mikut 155 2 0 05 Oct 2023
SMOOT: Saliency Guided Mask Optimized Online Training Ali Karkehabadi Houman Homayoun Avesta Sasan AAML 257 20 0 01 Oct 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2023 Chao Liu Zhaoyuan Gu Hanran Wu Deniz Irem Erus Ye Zhao 173 10 0 28 Sep 2023
Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet Keqin Li Jonathan Chan 72 1 0 25 Sep 2023
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth MonitoringAutomation in Construction (AC), 2023 Florent Forest Hugo Porta D. Tuia Olga Fink 274 21 0 20 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 219 3 0 09 Sep 2023
Insights Into the Inner Workings of Transformer Models for Protein Function PredictionBioinformatics (Bioinformatics), 2023 M. Wenzel Erik Grüner Nils Strodthoff ViT 179 13 0 07 Sep 2023
Bias Propagation in Federated LearningInternational Conference on Learning Representations (ICLR), 2023 Hong Chang Reza Shokri FedML 171 18 0 05 Sep 2023
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial TrainingInternational Conference on Advanced Data Mining and Applications (ADMA), 2023 Shuai Jiang Sayaka Kamei Chen Li Shengzhe Hou Yasuhiko Morimoto SSL 126 1 0 03 Sep 2023
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM ExplanationsInternational Conference on Data Science and Advanced Analytics (DSAA), 2023 Chetraj Pandey Anli Ji Trisha Nandakumar R. Angryk Berkay Aydin 124 6 0 30 Aug 2023
Goodhart's Law Applies to NLP's Explanation BenchmarksFindings (Findings), 2023 Jennifer Hsia Danish Pruthi Aarti Singh Zachary Chase Lipton 163 7 0 28 Aug 2023
Integrated Image and Location Analysis for Wound Classification: A Deep Learning ApproachScientific Reports (Sci Rep), 2023 Yash J. Patel Tirth J. Shah Mou Deb Taiyu Zhang J. Niezgoda Sandeep Gopalakrishnan Zeyun Yu 125 32 0 23 Aug 2023
A survey on bias in machine learning research Agnieszka Mikołajczyk-Bareła M. Grochowski AI4CE FaML 277 5 0 22 Aug 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods Yawei Li Yanglin Zhang Kenji Kawaguchi Ashkan Khakzar B. Bischl Mina Rezaei FAtt XAI 158 0 0 17 Aug 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language ModelsIEEE Transactions on Software Engineering (TSE), 2023 Yuheng Huang Yuheng Huang Zhijie Wang Shengming Zhao Huaming Chen Felix Juefei-Xu Lei Ma 268 24 0 16 Jul 2023
SwiFT: Swin 4D fMRI TransformerNeural Information Processing Systems (NeurIPS), 2023 P. Y. Kim Junbeom Kwon Sunghwan Joo Sang-Peel Bae Donggyu Lee Yoonho Jung Shinjae Yoo Jiook Cha Taesup Moon MedIm 303 44 0 12 Jul 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare ApplicationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Adam Ivankay Mattia Rigotti P. Frossard OOD MedIm 180 1 0 05 Jul 2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal TransformersIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 E. Panfilov S. Saarakkala M. Nieminen A. Tiulpin 139 8 0 03 Jul 2023
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification? Ali Karkehabadi FAtt AAML 96 0 0 28 Jun 2023
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceMachine-mediated learning (ML), 2023 Benedict Clark Rick Wilming Stefan Haufe 232 7 0 22 Jun 2023
Identifying and Disentangling Spurious Features in Pretrained Image Representations R. Darbinyan Hrayr Harutyunyan Aram H. Markosyan Hrant Khachatrian 142 4 0 22 Jun 2023
Evaluating the overall sensitivity of saliency-based explanation methods Harshinee Sriram Cristina Conati AAML XAI FAtt 150 0 0 21 Jun 2023
Interpreting Deep Neural Networks with the Package innsightJournal of Statistical Software (JSS), 2023 Niklas Koenen Marvin N. Wright FAtt 218 8 0 19 Jun 2023
On Minimizing the Impact of Dataset Shifts on Actionable ExplanationsConference on Uncertainty in Artificial Intelligence (UAI), 2023 Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 187 6 0 11 Jun 2023
Robust Explainer Recommendation for Time Series ClassificationData mining and knowledge discovery (DMKD), 2023 Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim AI4TS 354 10 0 08 Jun 2023
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image ClassificationIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 Akshatha Mohan Joshua Peeples 151 7 0 06 Jun 2023
Time Interpret: a Unified Model Interpretability Library for Time Series Joseph Enguehard FAtt AI4TS 171 6 0 05 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 270 33 0 03 Jun 2023
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer ReviewsWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2023 Yukyung Lee Jaehee Kim Doyoon Kim Yoo-Seok Kho Younsun Kim Pilsung Kang 186 0 0 03 Jun 2023
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its DecisionAAAI Conference on Artificial Intelligence (AAAI), 2023 Chase Walker Sumit Kumar Jha Kenny Chen Rickard Ewetz FAtt 153 19 0 31 May 2023
Efficient Shapley Values Estimation by Amortization for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Chenghao Yang Fan Yin He He Kai-Wei Chang Xiaofei Ma Bing Xiang FAtt VLM 203 7 0 31 May 2023
NeuroX Library for Neuron Analysis of Deep NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Fahim Dalvi Hassan Sajjad Nadir Durrani 205 14 0 26 May 2023
Sequential Integrated Gradients: a simple but effective method for explaining language modelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Joseph Enguehard 148 55 0 25 May 2023
An Experimental Investigation into the Evaluation of Explainability Methods Sédrick Stassin A. Englebert Géraldin Nanfack Julien Albert Nassim Versbraegen Gilles Peiffer Miriam Doh Nicolas Riche Benoit Frénay Christophe De Vleeschouwer XAI ELM 171 6 0 25 May 2023
On the Impact of Knowledge Distillation for Model InterpretabilityInternational Conference on Machine Learning (ICML), 2023 Hyeongrok Han Siwon Kim Hyun-Soo Choi Sungroh Yoon 183 11 0 25 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 179 29 0 23 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate ModelsACM Transactions on Software Engineering and Methodology (TOSEM), 2023 Matteo Biagiola Paolo Tonella 195 30 0 22 May 2023
The "code'' of Ethics:A Holistic Audit of AI Code GeneratorsIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Wanlun Ma Yiliao Song Minhui Xue Sheng Wen Yang Xiang 171 15 0 22 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification Jiasheng Si Yingjie Zhu Deyu Zhou AAML 285 5 0 16 May 2023
$Releasing Inequality Phenomenon in $\ell_{\infty}$-norm Adversarial Training via Input Gradient Distillation$ Releasing Inequality Phenomenon in $\ell_{\infty}$ -norm Adversarial Training via Input Gradient DistillationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Junxi Chen Junhao Dong Xiaohua Xie Jianhuang Lai AAML 209 0 0 16 May 2023
eXplainable Artificial Intelligence on Medical Images: A Survey Matteus Vargas Simao da Silva Rodrigo Reis Arrais Jhessica Victoria Santos da Silva Felipe Souza Tanios Mateus A. Chinelatto ... Fabiana Cristina Queiroz de Oliveira Marucci Francisco Alves de Souza Neto Danilo Xavier Silva Vitor Yukio Kondo C. F. G. Santos MedIm XAI 127 1 0 12 May 2023
PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics Agus Sudjianto Aijun Zhang Zebin Yang Yuhao Su Ningzhou Zeng 177 7 0 07 May 2023
Expository Text Generation: Imitate, Retrieve, ParaphraseConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nishant Balepur Jie Huang Kevin Chen-Chuan Chang 171 11 0 05 May 2023