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Methodology
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information theory
489 papers
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Also known as
IP
IT
Co-occurring keywords
mutual information
(717)
representation learning
(6174)
sample complexity
(1158)
language model
(4573)
generalization bound
(649)
learning theory
(518)
large language model
(12755)
causal inference
(1619)
statistical learning
(350)
unsupervised learning
(3255)
Papers
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
NIPS 2022
Learning General World Models in a Handful of Reward-Free Deployments
NIPS 2022
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization
AAAI 2021
Finding Relevant Information via a Discrete Fourier Expansion
ICML 2021
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
ICML 2021
Precise Minimax Regret for Logistic Regression with Categorical Feature Values
ALT 2021
Finding Concept-specific Biases in Form–Meaning Associations
NAACL 2021
Analysing Human Strategies of Information Transmission as a Function of Discourse Context
EMNLP 2021
Measuring Dependence with Matrix-based Entropy Functional
AAAI 2021
Adversarial Training Reduces Information and Improves Transferability
AAAI 2021
Hilbert Sinkhorn Divergence for Optimal Transport
CVPR 2021
Conditional probing: measuring usable information beyond a baseline
EMNLP 2021
On Robust Mean Estimation under Coordinate-level Corruption
ICML 2021
An Information-Theoretic Characterization of Morphological Fusion
EMNLP 2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
ICML 2021
Deciding What to Learn: A Rate-Distortion Approach
ICML 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning
ICML 2021
Complementary Patch for Weakly Supervised Semantic Segmentation
ICCV 2021
Domain Divergences: A Survey and Empirical Analysis
NAACL 2021
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
NIPS 2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance
NIPS 2021
Explaining by Removing: A Unified Framework for Model Explanation
JMLR 2021
An Information-theoretic Approach to Distribution Shifts
NIPS 2021
Phonetic Distance and Surprisal in Multilingual Priming: Evidence from Slavic
INTERSPEECH 2021
Universal Rate-Distortion-Perception Representations for Lossy Compression
NIPS 2021
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