Feature Attribution

FAtt

Determines the importance of each feature in predictions. Useful for model debugging and interpretability.

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Enhancing Interpretability for Vision Models via Shapley Value Optimization Kanglong Fan Yunqiao Yang Chen Ma AAML FAtt 90 0 0 16 Dec 2025
AgentSHAP: Interpreting LLM Agent Tool Importance with Monte Carlo Shapley Value Estimation Miriam Horovicz LLMAG FAtt 62 0 0 14 Dec 2025
On the Accuracy of Newton Step and Influence Function Data Attributions Ittai Rubinstein Samuel B. Hopkins TDI FAtt 125 0 0 14 Dec 2025
Back to the Baseline: Examining Baseline Effects on Explainability Metrics Agustin Martin Picard Thibaut Boissin Varshini Subhash Rémi Cadène Thomas Fel FAtt 0 0 0 12 Dec 2025
Provable Recovery of Locally Important Signed Features and Interactions from Random Forest Kata Vuk Nicolas Alexander Ihlo Merle Behr FAtt 108 0 0 11 Dec 2025
Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution Jonathan Kamp Roos Bakker Dominique Blok FAtt 0 0 0 11 Dec 2025
Interpreto: An Explainability Library for Transformers Antonin Poché Thomas Mullor Gabriele Sarti Frédéric Boisnard Corentin Friedrich Charlotte Claye François Hoofd Raphael Bernas Céline Hudelot Fanny Jourdan MILM FAtt 187 0 0 10 Dec 2025
STACHE: Local Black-Box Explanations for Reinforcement Learning Policies Andrew Elashkin Orna Grumberg OffRL FAtt LRM 105 0 0 10 Dec 2025
MelanomaNet: Explainable Deep Learning for Skin Lesion Classification Sukhrobbek Ilyosbekov FAtt MedIm 108 0 0 10 Dec 2025
Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics Tianyi Ren Daniel Low Pittra Jaengprajak Juampablo Heras Rivera Jacob Ruzevick Mehmet Kurt FAtt 144 0 0 08 Dec 2025
Zero-Shot Textual Explanations via Translating Decision-Critical Features Toshinori Yamauchi Hiroshi Kera Kazuhiko Kawamoto FAtt 44 0 0 08 Dec 2025
$ϕ$ -test: Global Feature Selection and Inference for Shapley Additive Explanations Dongseok Kim Hyoungsun Choi Mohamed Jismy Aashik Rasool Gisung Oh FAtt 36 0 0 08 Dec 2025
SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification Elifnur Sunger Tales Imbiriba Peter Campbell Deniz Erdogmus Stratis Ioannidis Jennifer Dy FAtt 84 0 0 08 Dec 2025
Interpretive Efficiency: Information-Geometric Foundations of Data Usefulness Ronald Katende FAtt 28 0 0 06 Dec 2025
Improving Local Fidelity Through Sampling and Modeling Nonlinearity Sanjeev Shrestha Rahul Dubey Hui Liu FAtt 84 0 0 05 Dec 2025
Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception Anne Sielemann Valentin Barner Stefan Wolf Masoud Roschani Jens Ziehn Juergen Beyerer FAtt 56 0 0 05 Dec 2025
MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation Zhou Yang Shunyan Luo Jiazhen Zhu Fang Jin MILM FAtt 121 0 0 04 Dec 2025
Identifying attributions of causality in political text Paulina Garcia-Corral FAtt CML 35 0 0 02 Dec 2025
Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability Jialai She FAtt 32 0 0 02 Dec 2025
The Effect of Enforcing Fairness on Reshaping Explanations in Machine Learning Models Joshua Wolff Anderson Shyam Visweswaran FAtt 220 0 0 01 Dec 2025
QGShap: Quantum Acceleration for Faithful GNN Explanations Haribandhu Jena Jyotirmaya Shivottam Subhankar Mishra FAtt 176 0 0 01 Dec 2025
Dynamic Algorithm for Explainable k-medians Clustering under lp Norm Konstantin Makarychev Ilias Papanikolaou Liren Shan FAtt 100 0 0 01 Dec 2025
Faster Verified Explanations for Neural Networks Alessandro De Palma Greta Dolcetti Caterina Urban FAtt 161 0 0 28 Nov 2025
On Computing the Shapley Value in Bankruptcy Games -llustrated by Rectified Linear Function Game- Shunta Yamazaki Tomomi Matsui FAtt 48 0 0 27 Nov 2025
ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions Krishna Khadka Sunny Shree Pujan Budhathoki Yu Lei Raghu Kacker D. Richard Kuhn AAML FAtt 245 0 0 26 Nov 2025
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods Kevin Iselborn David Dembinsky Adriano Lucieri Andreas Dengel AAML FAtt 247 0 0 26 Nov 2025
CID: Measuring Feature Importance Through Counterfactual Distributions Eddie Conti Álvaro Parafita Axel Brando FAtt CML 345 0 0 19 Nov 2025
Sufficient Explanations in Databases and their Connections to Necessary Explanations and Repairs L. Bertossi Nina Pardal FAtt 109 0 0 19 Nov 2025
Explaining Digital Pathology Models via Clustering Activations Adam Bajger Jan Obdržálek Vojtěch Kůr Rudolf Nenutil Petr Holub Vít Musil Tomáš Brázdil FAtt 80 0 0 18 Nov 2025
Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations Yehonatan Elisha Seffi Cohen Oren Barkan Noam Koenigstein FAtt 203 0 0 17 Nov 2025
Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew Farhin Farhad Riya Shahinul Hoque J. Sun Olivera Kotevska AAML FedML FAtt 435 0 0 17 Nov 2025
From Black-Box to White-Box: Control-Theoretic Neural Network Interpretability Jihoon Moon FAtt MILM 96 0 0 17 Nov 2025
ScoresActivation: A New Activation Function for Model Agnostic Global Explainability by Design Emanuel Covaci Fabian Galis Radu Balan Daniela Zaharie Darian Onchis FAtt 124 0 0 17 Nov 2025
LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Gennaro Vessio FAtt 80 0 0 16 Nov 2025
FLEX: Feature Importance from Layered Counterfactual Explanations Nawid Keshtmand Roussel Desmond Nzoyem J. N. Clark FAtt 112 0 0 14 Nov 2025
Efficiently Transforming Neural Networks into Decision Trees: A Path to Ground Truth Explanations with RENTT Helena Monke Benjamin Frész Marco Bernreuther Yilin Chen Marco F. Huber FAtt 102 0 0 12 Nov 2025
Spatial Information Bottleneck for Interpretable Visual Recognition Kaixiang Shu Kai Meng Junqin Luo FAtt 176 0 0 12 Nov 2025
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier Xinpeng Li Kai Ming Ting FAtt 165 0 0 12 Nov 2025
From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm Alexander Nadel Ron Wettenstein FAtt 165 0 0 12 Nov 2025
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency PartitionComputer Vision and Pattern Recognition (CVPR), 2025 Lintong Zhang Kang Yin Seong-Whan Lee FAtt 344 1 0 11 Nov 2025
Approximating Shapley Explanations in Reinforcement Learning Daniel Beechey Özgür Simsek FAtt OffRL 263 0 0 08 Nov 2025
Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations Shivogo John FAtt 326 6 0 05 Nov 2025
Balanced contributions, consistency, and value for games with externalities André Casajus Yukihiko Funaki Frank Huettner TDI FAtt 219 0 0 05 Nov 2025
llmSHAP: A Principled Approach to LLM Explainability Filip Naudot Tobias Sundqvist Timotheus Kampik FAtt 223 0 0 03 Nov 2025
Interpretable Model-Aware Counterfactual Explanations for Random Forest Joshua S. Harvey Guanchao Feng Sai Anusha Meesala Tina Zhao Dhagash Mehta FAtt CML 301 0 0 31 Oct 2025
Community Detection on Model Explanation Graphs for Explainable AI Ehsan Moradi FAtt 195 0 0 31 Oct 2025
Interpreting LLMs as Credit Risk Classifiers: Do Their Feature Explanations Align with Classical ML? Saeed AlMarri Kristof Juhasz Mathieu Ravaut Gautier Marti Hamdan Al Ahbabi Ibrahim Elfadel FAtt 123 0 0 29 Oct 2025
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions Amin Parchami-Araghi Sukrut Rao Jonas Fischer Bernt Schiele FAtt 156 0 0 29 Oct 2025
Enhancing Pre-trained Representation Classifiability can Boost its InterpretabilityInternational Conference on Learning Representations (ICLR), 2025 Shufan Shen Zhaobo Qi Junshu Sun Qingming Huang Qi Tian Shuhui Wang FAtt 344 4 0 28 Oct 2025
Fair Indivisible Payoffs through Shapley Value Mikołaj Czarnecki Michał Korniak Oskar Skibski Piotr Skowron FAtt 230 0 0 28 Oct 2025

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