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Information Theory

313 directly classified papers

Papers per year

Papers

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL 2021
Deciding What to Learn: A Rate-Distortion Approach ICML 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021
Finding Relevant Information via a Discrete Fourier Expansion ICML 2021
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning ICML 2021
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding ICML 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization ICML 2021
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021
Information-Theoretic Regularization for Multi-Source Domain Adaptation ICCV 2021
RGB-D Saliency Detection via Cascaded Mutual Information Minimization ICCV 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021
Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain EMNLP 2021
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck CVPR 2021
Optimal Rates for Nonparametric Density Estimation under Communication Constraints NIPS 2021
Towards a Unified Information-Theoretic Framework for Generalization NIPS 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints NIPS 2021
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach IJCNLP 2021