Co-occurring keywords · papers mentioning both
Papers
RMIB: Representation Matching Information Bottleneck for Matching Text Representations
ICML 2024
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
NeurIPS 2024
Separating common from salient patterns with Contrastive Representation Learning
ICLR 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
AAAI 2024
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
UAI 2024
Simplifying Latent Dynamics with Softly State-Invariant World Models
NeurIPS 2024
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
NeurIPS 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
ICML 2024
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
JMLR 2024
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
ICML 2024
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
ICLR 2024
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
AAAI 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
NeurIPS 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
ACL 2024
Towards Understanding Evolving Patterns in Sequential Data
NeurIPS 2024
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
CoRL 2024
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder
NAACL 2024
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception
AAAI 2024
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition
ACL 2024
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
NeurIPS 2023
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
IJCAI 2023
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
ICLR 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
ICML 2023
A Latent-Variable Model for Intrinsic Probing
AAAI 2023