Feature Attribution

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14 papers in the last four weeks, down 7% on the four weeks before. 0.1% of all new papers.

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  1. For Those Who Believe in Faithfulness: Optimizing the Area Under Insertion and Deletion Curves for Ranking Relative Feature Importance

    Oct 7, 2026Bjørn Leth Møller, Bulat Ibragimov, Christian IgelFeature AttributionNeural Network Interpretability

    Department of Computer Science, University of Copenhagen, Denmark

  2. Rethinking Least-Core Computation in Contextual-Distractor Games

    Oct 5, 2026Hiroshi Kera, Toshinori Yamauchi, Sai Ganesh NagarajanCooperative Game TheoryFeature Attribution

    Chiba University; National Institute of Informatics · University of Southern Denmark, IMADA

  3. Spatial Supervision Without Attribution Optimization: Improving Post-Hoc Class Activation Maps via Box-Guided Evidence Routing

    Oct 5, 2026Wenhao Liang, Liangwei Nathan Zheng, Lin Yue +3Gradient-Based AttributionFeature Attribution

    Adelaide University, Adelaide, Australia

  4. MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees

    Oct 1, 2026Poushali Sengupta, Sabita Maharjan, Frank Eliassen +2Feature AttributionExplainability Evaluation

    Department of Informatics, University of Oslo Oslo, Norway · Department of Electronic Systems, Aalborg University Aalborg, Denmark

  5. Learnable Time-Frequency Masks for Explaining Time-Series Classifiers

    Sep 24, 2026Theresa Dahl Frehr, Francisco Pelayo, Lukas Raad +3Feature AttributionTime Series Classification

    Department of Applied Mathematics and Computer Science Technical University of Denmark

  6. MorphoSHAP: Rethinking the Unit of Attribution in Explanation for Deep Visual Models

    Sep 22, 2026Anirudh Prabhakaran, Alexandre Rocchi, Gianni FranchiFeature AttributionSHAP Feature Attribution

    AMIAD, Pˆole Recherche, Palaiseau

  7. Evaluating Explanation Methods by the Predictors They Induce

    Sep 17, 2026Jacob Selbæk, Hugo L. HammerFeature AttributionSHAP Feature Attribution

    Department of Computer Science, Oslo Metropolitan University, Oslo, Norway · Department of Holistic Systems, SimulaMet, Oslo, Norway · Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway

  8. Null importance: Disentangling relevance for interpretable machine learning

    Sep 16, 2026Garvesh Raskutti, Kris Sankaran, Jiaxin YeFeature AttributionInterpretable ML

    Department of Statistics, University of Wisconsin–Madison

  9. NObSP: Functional Decomposition of Neural Networks via Oblique Subspace Projections

    Sep 15, 2026Alexander Caicedo, Víctor De La Hoz, Santiago AlférezFeature AttributionNeural Network Interpretability

    Department of Electronic Engineering, Pontificia Universidad Javeriana, Bogot´a, Colombia · Pontificia Universidad Javeriana, Bogot´a, Colombia · Department of Mathematics, Universitat Polit`ecnica de Catalunya, Barcelona, Spain

  10. A unified framework for global and local interpretability using adaptive derivative-ordered random explanation

    Sep 15, 2026Lemen Chao, Ming Lei, Anran FangGradient-Based AttributionFeature Attribution

    School of Information Resource Management, Renmin University of China, Beijing, 100872, People’s Republic of China. · Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, 100872, People’s Republic of China.

  11. Explaining Time Series Forecasting with Horizon-Resolved Attribution

    Sep 14, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Explainable Time Series ForecastingFeature Attribution

    LG AI Research

  12. Interpreting the predictions of neural network classification based on a Taylor Coefficient Analysis (TCA)

    Sep 14, 2026Markus Klute, Artur Monsch, Lars Sowa +1Feature AttributionNeural Network Interpretability

    Karlsruhe Institute of Technology, Germany

  13. DynSHAP: Towards Explainable Dynamic Survival Analysis

    Sep 14, 2026Nastasya Anokhina, Jonas Jür\ss, Pietro LiòFeature AttributionSHAP Feature Attribution

    University of Cambridge

  14. Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features

    Sep 14, 2026Siqi Li, Wangxuan Fan, Yiming Li +2Feature AttributionLearning with Missing Data

    Centre for Biomedical Data Science, Duke-NUS Medical School · School of Data Science, Chinese University of Hong Kong, Shenzhen · Department of Biostatistics, Columbia University +3

  15. Analyzing Traditional and Neural Approaches to Multilingual Readability Assessment

    Sep 11, 2026Joshua Wong, Chris TannerTransformer InterpretabilityFeature Attribution

    Harvard University · Massachusetts Institute of Technology · Kensho Technologies in Cambridge, MA, USA

  16. A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

    Sep 10, 2026Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright +1Feature Attribution

    Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany · Faculty of Mathematics and Computer Science, University of Bremen, Germany

  17. Applying foundation model embeddings towards urban livability evaluation

    Sep 8, 2026Ayush Khot, Wen Zhou, Shaowen WangFeature AttributionGeospatial Foundation Models

    Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA · Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA · Department of Geography and Geographic Information Science & Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA

  18. Witnesses Explain Anomalies

    Sep 3, 2026Lamine DiopFeature AttributionTabular Anomaly Detection

    EPITA Research Laboratory, Le Kremlin-Bicˆetre FR-94276, France

  19. Cross-Dataset Transfer and Reliability of Explainable Artificial Intelligence for RhythmFormer Remote Photoplethysmography

    Sep 3, 2026Louis Chen, Torbjörn E. M. NordlingRemote PhotoplethysmographyFeature Attribution

    Department of Mechanical Engineering, National Cheng Kung University, Tainan, Taiwan.

  20. Contrastive Explanations in Quantitative Bipolar Argumentation Frameworks

    Sep 2, 2026Xiang Yin, Nico Potyka, Antonio Rago +1Computational ArgumentationFeature Attribution

    Imperial College London, UK · CardiffUniversity, UK · King’s College London, UK

  21. Signal or Noise? Auditing Rotation-Induced Saliency Drift in Medical and Aerial Imaging

    Sep 2, 2026Khawaja Murad ul Hassan, Mehran EbrahimiFeature AttributionExplanation Stability

    Independent Researcher · Ontario Tech University

  22. Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence

    Aug 31, 2026Eddie Conti, Claudio Daka, Álvaro Parafita +3Feature AttributionSHAP Feature Attribution

    Barcelona Supercomputing Center, Barcelona, Spain · University of Florence, Florence, Italy · SMARTEST Research Center, eCampus University, Novedrate, Italy +2

  23. MolLedger: An Additive Graph Neural Network with Chemically Grounded ADME Attributions

    Aug 31, 2026Christina X. JiFeature AttributionGraph Neural Networks

    Hamilton College

  24. Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning

    Aug 28, 2026Sejong OhFeature AttributionCounterfactual Explanations

    Dankook University, Republic of Korea

  25. DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition

    Aug 13, 2026Amogh Joshi, Animesh Mukherjee, Sergey UtyuzhnikovFeature AttributionLLM Interpretability

    IIT Kharagpur, India · University of Manchester, UK

  26. On the global feature importance for interpretable and trustworthy heat demand forecasting

    Aug 13, 2026Milan ZdravkovićFeature AttributionInterpretable ML

    Faculty of Mechanical Engineering University of Niš ul. Aleksandra Medvedeva 14, 18000 Niš, Serbia

  27. Decomposition of Evidence, Contradiction, and Fragility in Perturbation Responses

    Aug 13, 2026Lei YouFeature AttributionPerturbation-Based Feature Attribution

    Technical University of Denmark

  28. CAS: A Causal Attribution Score for Local and Global Explainable Artificial Intelligence

    Aug 12, 2026Michael Georgiades, Charalambia VarnavaFeature AttributionCausal Attribution

    Department of Computer Science Neapolis University Pafos Cyprus · CaSToRC The Cyprus Institute Nicosia, Cyprus

  29. Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations

    Aug 12, 2026AmirHossein Eshghi, Hamid Saadatfar, Seyyed Ali Hoseini +2Transformer InterpretabilityFeature Attribution

    Department of Computer Engineering, University of Birjand, Iran · Department of Applied Mathematics and Computer Science Visual Computing, Technical University of Denmark, Denmark

  30. RelShap: Relationally Consistent Shapley Explanations

    Aug 11, 2026Seungeun Lee, Joao Fonseca, Julia StoyanovichFeature AttributionShapley Value Attribution

    New York University, New York, USA · INESC-ID, Lisbon, Portugal