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mutual information

835 papers

MI

Papers

A Theory of Usable Information under Computational Constraints ICLR 2020 Attentive Weights Generation for Few Shot Learning via Information Maximization CVPR 2020 Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation ICML 2020 Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer AISTATS 2020 Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning NeurIPS 2020 Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax IJCAI 2020 CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information ICML 2020 Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds NeurIPS 2020 Contrastive Variational Reinforcement Learning for Complex Observations CoRL 2020 Deep Reinforcement and InfoMax Learning NeurIPS 2020 DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration MIDL 2020 Entropy Minimization In Emergent Languages ICML 2020 Estimating Mutual Information Between Dense Word Embeddings ACL 2020 Exploiting Mutual Information for Substructure-aware Graph Representation Learning IJCAI 2020 Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation CVPR 2020 Focus of Attention Improves Information Transfer in Visual Features NeurIPS 2020 Formal Limitations on the Measurement of Mutual Information AISTATS 2020 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020 Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs ACL 2020 Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020 Graph Cross Networks with Vertex Infomax Pooling NeurIPS 2020 Graph Information Bottleneck NeurIPS 2020 Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval IJCAI 2020 Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020 Improving generalization by controlling label-noise information in neural network weights ICML 2020