Co-occurring keywords · papers mentioning both
mutual information
(3)
variance invariance covariance regularization
(1)
instance-wise explanation
(1)
feature heterogeneity
(1)
visual evidence selection
(1)
overfitting
(1)
client-level feature splitting
(1)
global clustering structures
(1)
privacy-preserving information sharing
(1)
efron–stein inequality
(1)
Papers
Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation
ACL 2026
An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
ICML 2025
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
ICML 2025
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
NeurIPS 2023
Multi-View Representation Learning via Total Correlation Objective
NeurIPS 2021
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
ICML 2018