Information Theory

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints NeurIPS 2023 Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023 Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023 k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension NeurIPS 2022 A Consistent and Efficient Evaluation Strategy for Attribution Methods ICML 2022 Adaptive Data Analysis with Correlated Observations ICML 2022 A Functional Information Perspective on Model Interpretation ICML 2022 Algorithms for the Communication of Samples ICML 2022 Analyzing Wrap-Up Effects through an Information-Theoretic Lens ACL 2022 An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels ACL 2022 A Reparametrization-Invariant Sharpness Measure Based on Information Geometry NeurIPS 2022 Chained generalisation bounds COLT 2022 Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm AISTATS 2022 Cheat Codes to Quantify Missing Source Information in Neural Machine Translation NAACL 2022 Data-Derived Weak Universal Consistency JMLR 2022 Domain Adaptation via Maximizing Surrogate Mutual Information IJCAI 2022 Domain Generalization without Excess Empirical Risk NeurIPS 2022 Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness NeurIPS 2022 Evaluating Extreme Hierarchical Multi-label Classification ACL 2022 FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos AAAI 2022 Fundamental Limits and Tradeoffs in Invariant Representation Learning JMLR 2022 Generalization Bounds via Convex Analysis COLT 2022 IM-Loss: Information Maximization Loss for Spiking Neural Networks NeurIPS 2022 Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022