Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Information Theory
313 directly classified papers
Papers per year
2004: 1
2006: 4
2007: 3
2008: 4
2009: 6
2010: 7
2011: 6
2012: 10
2013: 8
2014: 13
2015: 1
2016: 6
2017: 9
2018: 11
2019: 21
2020: 27
2021: 36
2022: 39
2023: 36
2024: 37
2025: 28
Papers
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
IJCNLP 2021
An Unsupervised Information-Theoretic Perceptual Quality Metric
NIPS 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
NIPS 2020
Information-Theoretic Probing with Minimum Description Length
EMNLP 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
EMNLP 2020
Surprisal Predicts Code-Switching in Chinese-English Bilingual Text
EMNLP 2020
Limits on Testing Structural Changes in Ising Models
NIPS 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
NIPS 2020
An information theoretic view on selecting linguistic probes
EMNLP 2020
Information theoretic limits of learning a sparse rule
NIPS 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
NIPS 2020
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
AISTATS 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
NIPS 2020
Inverse Learning of Symmetries
NIPS 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
ICML 2020
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
AAAI 2020
A Constraint-Based Approach to Learning and Explanation
AAAI 2020
Predicting Declension Class from Form and Meaning
ACL 2020
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection
AAAI 2020
Reasoning About Generalization via Conditional Mutual Information
COLT 2020
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
NIPS 2020
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
IJCAI 2020
Information-Theoretic Probing for Linguistic Structure
ACL 2020
Improving generalization by controlling label-noise information in neural network weights
ICML 2020
The All-or-Nothing Phenomenon in Sparse Tensor PCA
NIPS 2020
<
1
…
7
8
9
…
13
>