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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

Natural Language Processing for Computer Scientists and Data Scientists at a Large State University NAACL 2021
Vocabulary Learning via Optimal Transport for Neural Machine Translation ACL 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities IJCAI 2021
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios IJCAI 2021
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models AISTATS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Information-Theoretic Regularization for Multi-Source Domain Adaptation ICCV 2021
Estimating the Unique Information of Continuous Variables NIPS 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021
Bandit Quickest Changepoint Detection NIPS 2021
What About the Precedent: An Information-Theoretic Analysis of Common Law NAACL 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence NIPS 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NIPS 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
Disambiguatory Signals are Stronger in Word-initial Positions EACL 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021
Efficient Bayesian network structure learning via local Markov boundary search NIPS 2021
Continual Learning via Bit-Level Information Preserving CVPR 2021
An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021
Vocabulary Learning via Optimal Transport for Neural Machine Translation IJCNLP 2021
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding ICML 2021
Information-Theoretic Segmentation by Inpainting Error Maximization CVPR 2021
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021
Dimension-free empirical entropy estimation NIPS 2021