information theory

Overparameterization from Computational Constraints NeurIPS 2022 PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition Interspeech 2022 Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm NeurIPS 2022 Principle of relevant information for graph sparsification UAI 2022 Rethinking Fano’s Inequality in Ensemble Learning ICML 2022 Self-Supervised Learning via Maximum Entropy Coding NeurIPS 2022 SoFaiR: Single Shot Fair Representation Learning IJCAI 2022 Towards Empirical Sandwich Bounds on the Rate-Distortion Function ICLR 2022 Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs ICML 2022 Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation EMNLP 2022 What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP 2022 A Bayesian Framework for Information-Theoretic Probing EMNLP 2021 Adversarial Training Reduces Information and Improves Transferability AAAI 2021 Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NeurIPS 2021 An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios IJCAI 2021 An Information-theoretic Approach to Distribution Shifts NeurIPS 2021 An Information-Theoretic Characterization of Morphological Fusion EMNLP 2021 An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021 A surprisal–duration trade-off across and within the world’s languages EMNLP 2021 Bandit Quickest Changepoint Detection NeurIPS 2021 Complementary Patch for Weakly Supervised Semantic Segmentation ICCV 2021 Conditional probing: measuring usable information beyond a baseline EMNLP 2021 Continual Learning via Bit-Level Information Preserving CVPR 2021 Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities NeurIPS 2021 Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021