Title
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 332 0 0 02 Oct 2024
A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification Marina Ribeiro Bárbara Malcorra Natália B. Mota Rodrigo Wilkens Aline Villavicencio Lilian C. Hubner César Rennó-Costa 74 3 0 30 Sep 2024
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution Alexander Hinterleitner Thomas Bartz-Beielstein Richard Schulz Sebastian Spengler Thomas Winter Christoph Leitenmeier 171 4 0 25 Sep 2024
Y-Drop: A Conductance based Dropout for fully connected layers Efthymios Georgiou Georgios Paraskevopoulos Alexandros Potamianos 158 0 0 11 Sep 2024
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy CompressionInternational Conference on Supercomputing (ICS), 2024 Wenqi Jia Youyuan Liu Zhewen Hu Jinzhen Wang Boyuan Zhang ... Sian Jin Miao Yin Daoce Wang Jiannan Tian Miao Yin AI4CE 206 0 0 09 Sep 2024
Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings Wei Liu Chris North Rebecca Faust 122 2 0 06 Sep 2024
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential EquationsInternational Workshop on Machine Learning for Signal Processing (MLSP), 2024 Joel Brogan Olivera Kotevska Anibely Torres S. Jha Mark Adams 121 0 0 03 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability Shahbaz Rezaei Xin Liu AI4TS 505 3 0 02 Sep 2024
Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction Mingfei Cai Y. Pang Y. Sekimoto AI4TS 190 0 0 27 Aug 2024
Why Antiwork: A RoBERTa-Based System for Work-Related Stress Identification and Leading Factor Analysis Tao Lu Muzhe Wu Xinyi Lu Siyuan Xu Shuyu Zhan Anuj Tambwekar Emily Mower Provost 52 1 0 24 Aug 2024
iSee: Advancing Multi-Shot Explainable AI Using Case-based RecommendationsEuropean Conference on Artificial Intelligence (ECAI), 2024 A. Wijekoon Nirmalie Wiratunga D. Corsar Kyle Martin Ikechukwu Nkisi-Orji Chamath Palihawadana Marta Caro-Martínez Belén Díaz-Agudo Derek Bridge A. Liret 147 0 0 23 Aug 2024
Hierarchical Spatio-Temporal State-Space Modeling for fMRI AnalysisAnnual International Conference on Research in Computational Molecular Biology (RECOMB), 2024 Yuxiang Wei A. Abrol Reihaneh Hassanzadeh Mamba 305 5 0 23 Aug 2024
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery Weiji Kong Xun Gong Juan Wang 124 2 0 19 Aug 2024
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving Daniel Omeiza Pratik Somaiya Jo-Ann Pattinson Carolyn Ten-Holter Jack Stilgoe Marina Jirotka Lars Kunze 142 1 0 16 Aug 2024
An Effective Information Theoretic Framework for Channel Pruning Yihao Chen Zefang Wang 173 9 0 14 Aug 2024
Comgra: A Tool for Analyzing and Debugging Neural Networks Florian Dietz Sophie Fellenz Dietrich Klakow Marius Kloft 86 0 0 31 Jul 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach Adam Wojciechowski Mateusz Lango Ondrej Dusek FAtt 188 3 0 30 Jul 2024
BEExAI: Benchmark to Evaluate Explainable AI Samuel Sithakoul Sara Meftah Clément Feutry 226 15 0 29 Jul 2024
Revisiting the robustness of post-hoc interpretability methods Jiawen Wei Hugues Turbé G. Mengaldo AAML 312 7 0 29 Jul 2024
Effective Large Language Model Debugging with Best-first Tree Search Jialin Song Jonathan Raiman Bryan Catanzaro LRM 135 0 0 26 Jul 2024
Interpreting artificial neural networks to detect genome-wide association signals for complex traits Burak Yelmen Maris Alver Estonian Biobank Research Team Flora Jay L. Milani Lili Milani 267 2 0 26 Jul 2024
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing Shide Zhou Tianlin Li Yihao Huang Ling Shi Kailong Wang Yang Liu Huaimin Wang 208 1 0 26 Jul 2024
Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference Catherine Huang Martin Pawelczyk Himabindu Lakkaraju AAML 138 2 0 24 Jul 2024
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 447 2 0 23 Jul 2024
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering Lucas Plagwitz Lucas Bickmann Michael Fujarski Alexander Brenner Warnes Gobalakrishnan Lars Eckardt Antonius Büscher Julian Varghese 106 4 0 22 Jul 2024
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer A. Wentzel Serageldin Attia Xinhua Zhang G. Canahuate Clifton Fuller G. Marai 160 8 0 18 Jul 2024
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI Qi Huang Emanuele Mezzi Osman Mutlu Miltiadis Kofinas Vidya Prasad Shadnan Azwad Khan Elena Ranguelova Niki van Stein 246 1 0 17 Jul 2024
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park Junghoon Seo Bomseok Park Seongsu Lee Junghyo Jo AAML 258 2 0 17 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 312 4 0 16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 147 2 0 15 Jul 2024
Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information Vishnu S Pendyala Madhulika Dutta 137 0 0 07 Jul 2024
PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts Ana-Cristina Rogoz Maria Ilinca Nechita Radu Tudor Ionescu 191 0 0 05 Jul 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Xingliang Yuan Mark Dras SILM AAML 186 0 0 28 Jun 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 326 4 0 26 Jun 2024
CLEAR: Can Language Models Really Understand Causal Graphs? Sirui Chen Mengying Xu Kun Wang Xingyu Zeng Rui Zhao Shengjie Zhao Chaochao Lu LRM ELM 219 13 0 24 Jun 2024
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations Parikshit Solunke Vitória Guardieiro Joao Rulff Peter Xenopoulos G. Chan Brian Barr L. G. Nonato Claudio Silva 184 3 0 21 Jun 2024
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification D. Serramazza Thach le Nguyen Georgiana Ifrim 144 4 0 18 Jun 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 231 3 0 17 Jun 2024
Challenges in explaining deep learning models for data with biological variationPLoS ONE (PLoS ONE), 2024 Lenka Tětková E. Dreier Robin Malm Lars Kai Hansen AAML 188 1 0 14 Jun 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records Joakim Edin Maria Maistro Lars Maaløe Lasse Borgholt Jakob Drachmann Havtorn Tuukka Ruotsalo FAtt 148 13 0 13 Jun 2024
Behavior Structformer: Learning Players Representations with Structured Tokenization Oleg Smirnov Labinot Polisi 83 0 0 07 Jun 2024
Provably Better Explanations with Optimized Aggregation of Feature AttributionsInternational Conference on Machine Learning (ICML), 2024 Thomas Decker Ananta R. Bhattarai Jindong Gu Volker Tresp Florian Buettner 163 6 0 07 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 142 1 0 04 Jun 2024
CAFO: Feature-Centric Explanation on Time Series Classification Jaeho Kim S. Hahn Yoontae Hwang Junghye Lee Seulki Lee AI4TS 187 2 0 03 Jun 2024
Selective Explanations Lucas Monteiro Paes Dennis L. Wei Flavio du Pin Calmon FAtt 190 1 0 29 May 2024
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 209 0 0 28 May 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Alexander Branch Gregory Pottie AAML 276 3 0 28 May 2024
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions Sang Keun Choe Hwijeen Ahn Juhan Bae Kewen Zhao Minsoo Kang ... Teruko Mitamura Jeff Schneider Eduard Hovy Roger C. Grosse Eric Xing TDI 223 71 0 22 May 2024
Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP for CNN Interpretability Vaibhav Dhore Achintya Bhat Viraj Nerlekar Kashyap Chavhan Aniket Umare FAtt 161 10 0 20 May 2024
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods Benedict Clark Rick Wilming Artur Dox Paul Eschenbach Sami Hached ... Hjalmar Schulz Luca Matteo Cornils Danny Panknin Ahcène Boubekki Stefan Haufe 116 2 0 20 May 2024