mutual information

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 2024 Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NeurIPS 2024 Double InfoGAN for Contrastive Analysis AISTATS 2024 DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design ICML 2024 Efficient Variational Sequential Information Control AISTATS 2024 Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024 Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024 Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning AAAI 2024 Estimating Conditional Mutual Information for Dynamic Feature Selection ICLR 2024 Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts EACL 2024 Exploration by Learning Diverse Skills through Successor State Representations NeurIPS 2024 Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection AAAI 2024 Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NeurIPS 2024 From Chaos to Calibration: A Geometric Mutual Information Approach To Target-Free Camera LiDAR Extrinsic Calibration WACV 2024 Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure AAAI 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024 How Transformers Learn Causal Structure with Gradient Descent ICML 2024 Identifying Confounding from Causal Mechanism Shifts AISTATS 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment COLING 2024 InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification IJCAI 2024 InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization ICML 2024 Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression ICLR 2024 Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024 Interpretability Guarantees with Merlin-Arthur Classifiers AISTATS 2024