Information Theory
370 papers
Papers per year
1
5
3
4
6
8
8
13
9
14
3
7
9
11
24
30
42
45
40
42
35
11
'10
'15
'20
'25
Papers
Measuring Dependence with Matrix-based Entropy Functional
AAAI 2021
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
NeurIPS 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
NeurIPS 2021
Partition and Code: learning how to compress graphs
NeurIPS 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints
NeurIPS 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
ICML 2021
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
ICML 2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
ICML 2021
Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain
EMNLP 2021
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
ICCV 2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance
NeurIPS 2021
Top-k Ranking Bayesian Optimization
AAAI 2021
Towards a Unified Information-Theoretic Framework for Generalization
NeurIPS 2021
When Optimizing f-Divergence is Robust with Label Noise
ICLR 2021
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
ICML 2021
A Constraint-Based Approach to Learning and Explanation
AAAI 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
EMNLP 2020
An information theoretic view on selecting linguistic probes
EMNLP 2020
An Unsupervised Information-Theoretic Perceptual Quality Metric
NeurIPS 2020
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
AISTATS 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
UAI 2020
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
NeurIPS 2020
Consistent recovery threshold of hidden nearest neighbor graphs
COLT 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
NeurIPS 2020
Explainable Data Decompositions
AAAI 2020