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Optimization & Theory
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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
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
NIPS 2023
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
CVPR 2022
Fundamental Limits and Tradeoffs in Invariant Representation Learning
JMLR 2022
Domain Adaptation via Maximizing Surrogate Mutual Information
IJCAI 2022
Domain Generalization without Excess Empirical Risk
NIPS 2022
SoFaiR: Single Shot Fair Representation Learning
IJCAI 2022
FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos
AAAI 2022
Analyzing Wrap-Up Effects through an Information-Theoretic Lens
ACL 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
AAAI 2022
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
NIPS 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
EMNLP 2022
Algorithms for the Communication of Samples
ICML 2022
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
AISTATS 2022
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
NIPS 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
AAAI 2022
Data-Derived Weak Universal Consistency
JMLR 2022
On Leave-One-Out Conditional Mutual Information For Generalization
NIPS 2022
Measures of Information Reflect Memorization Patterns
NIPS 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods
ICML 2022
Cheat Codes to Quantify Missing Source Information in Neural Machine Translation
NAACL 2022
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
AISTATS 2022
On the Interplay between Information Loss and Operation Loss in Representations for Classification
AISTATS 2022
A Functional Information Perspective on Model Interpretation
ICML 2022
IM-Loss: Information Maximization Loss for Spiking Neural Networks
NIPS 2022
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification
JMLR 2022
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