Information Theory

Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019 Gradient Information for Representation and Modeling NeurIPS 2019 Information Maximizing Visual Question Generation CVPR 2019 Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NeurIPS 2019 Informative Object Annotations: Tell Me Something I Don't Know CVPR 2019 KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement Interspeech 2019 Learnability for the Information Bottleneck UAI 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 On Variational Bounds of Mutual Information ICML 2019 Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation NeurIPS 2019 Practical and Consistent Estimation of f-Divergences NeurIPS 2019 QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization EMNLP 2019 Quantifying the morphosyntactic content of Brown Clusters NAACL 2019 Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 Transferability and Hardness of Supervised Classification Tasks ICCV 2019 Understanding VAEs in Fisher-Shannon Plane AAAI 2019 A Direct Sum Result for the Information Complexity of Learning COLT 2018 Chaining Mutual Information and Tightening Generalization Bounds NeurIPS 2018 Estimators for Multivariate Information Measures in General Probability Spaces NeurIPS 2018 Fully Understanding The Hashing Trick NeurIPS 2018 Generative Bridging Network for Neural Sequence Prediction NAACL 2018 GILBO: One Metric to Measure Them All NeurIPS 2018