Co-occurring keywords · papers mentioning both
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