Co-occurring keywords · papers mentioning both
Papers
Capacity and Redundancy Trade-offs in Multi-Task Learning
UAI 2026
Maximum Total Correlation Reinforcement Learning
ICML 2025
αTC-VAE: On the relationship between Disentanglement and Diversity
ICLR 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NeurIPS 2024
SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation
UAI 2024
Differential Privacy in Cooperative Multiagent Planning
UAI 2023
Estimating Total Correlation with Mutual Information Estimators
AISTATS 2023
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation
EMNLP 2021
Measuring Dependence with Matrix-based Entropy Functional
AAAI 2021
Multi-View Representation Learning via Total Correlation Objective
NeurIPS 2021
Auto-Encoding Total Correlation Explanation
AISTATS 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
ICML 2019
Practical and Consistent Estimation of f-Divergences
NeurIPS 2019
Isolating Sources of Disentanglement in Variational Autoencoders
NeurIPS 2018
Unsupervised Learning via Total Correlation Explanation
IJCAI 2017
Deep Canonical Correlation Analysis
ICML 2013