"feature attribution" Papers
13 papers found
Conference
Boosting the visual interpretability of CLIP via adversarial fine-tuning
Shizhan Gong, Haoyu LEI, Qi Dou et al.
ICLR 2025
7
citations
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Won Jun Kim, Hyungjin Chung, Jaemin Kim et al.
CVPR 2025arXiv:2411.15265
2
citations
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Anders Gjølbye, Stefan Haufe, Lars Kai Hansen
NEURIPS 2025arXiv:2505.11210
1
citations
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
Christopher Musco, R. Teal Witter
ICLR 2025arXiv:2410.01917
16
citations
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
R. Teal Witter, Yurong Liu, Christopher Musco
NEURIPS 2025arXiv:2506.11849
3
citations
Rethinking Shapley Value for Negative Interactions in Non-convex Games
Wonjoon Chang, Myeongjin Lee, Jaesik Choi
ICLR 2025
SHAP values via sparse Fourier representation
Ali Gorji, Andisheh Amrollahi, Andreas Krause
NEURIPS 2025spotlightarXiv:2410.06300
3
citations
Attribution-based Explanations that Provide Recourse Cannot be Robust
Hidde Fokkema, Rianne de Heide, Tim van Erven
ICML 2024arXiv:2205.15834
22
citations
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer et al.
AAAI 2024paperarXiv:2401.12069
33
citations
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
Eslam Zaher, Maciej Trzaskowski, Quan Nguyen et al.
ICML 2024arXiv:2405.09800
9
citations
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Yi Cai, Gerhard Wunder
ICML 2024arXiv:2308.09381
3
citations
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Hengyi Wang, Shiwei Tan, Hao Wang
ICML 2024arXiv:2406.12649
9
citations
Prospector Heads: Generalized Feature Attribution for Large Models & Data
Gautam Machiraju, Alexander Derry, Arjun Desai et al.
ICML 2024arXiv:2402.11729
2
citations