{"total":15,"rows":[{"id":"2305.00380","title":"DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning","created":"2023-04-30","cited_by_count":15,"area":null},{"id":"2306.08604","title":"A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy","created":"2023-06-14","cited_by_count":14,"area":null},{"id":"2210.04311","title":"Pruning Adversarially Robust Neural Networks without Adversarial Examples","created":"2022-10-09","cited_by_count":12,"area":null},{"id":"2401.09067","title":"Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding","created":"2024-01-17","cited_by_count":10,"area":null},{"id":"2404.17951","title":"Cauchy-Schwarz Divergence Information Bottleneck for Regression","created":"2024-04-27","cited_by_count":9,"area":null},{"id":"2402.09050","title":"End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training","created":"2024-02-14","cited_by_count":8,"area":null},{"id":"2403.13322","title":"DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation","created":"2024-03-20","cited_by_count":8,"area":null},{"id":"2209.12935","title":"A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection","created":"2022-09-26","cited_by_count":5,"area":null},{"id":"2309.04650","title":"Exploring Robust Features for Improving Adversarial Robustness","created":"2023-09-09","cited_by_count":4,"area":null},{"id":"2509.20829","title":"Explaining Grokking and Information Bottleneck through Neural Collapse Emergence","created":"2025-09-25","cited_by_count":4,"area":null},{"id":"2509.26327","title":"A Generalized Information Bottleneck Theory of Deep Learning","created":"2025-09-30","cited_by_count":4,"area":null},{"id":"2302.10896","title":"IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness","created":"2023-02-09","cited_by_count":2,"area":null},{"id":"2309.17401","title":"Adversarial Attacks to Latent Representations of Distributed Neural Networks in Split Computing","created":"2023-09-29","cited_by_count":2,"area":null},{"id":"2403.05559","title":"Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education","created":"2024-02-15","cited_by_count":2,"area":null},{"id":"2510.20627","title":"H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition","created":"2025-10-23","cited_by_count":2,"area":null}],"next_cursor":null}