{"total":21,"rows":[{"id":"2511.08544","title":"LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics","created":"2025-11-11","cited_by_count":254,"area":null},{"id":"2401.17139","title":"Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models","created":"2024-01-30","cited_by_count":35,"area":null},{"id":"2309.17281","title":"Information Flow in Self-Supervised Learning","created":"2023-09-29","cited_by_count":16,"area":null},{"id":"2405.18756","title":"Provable Contrastive Continual Learning","created":"2024-05-29","cited_by_count":13,"area":null},{"id":"2311.06597","title":"Understanding Grokking Through A Robustness Viewpoint","created":"2023-11-11","cited_by_count":12,"area":null},{"id":"2310.17455","title":"OTMatch: Improving Semi-Supervised Learning with Optimal Transport","created":"2023-10-26","cited_by_count":6,"area":null},{"id":"2402.03471","title":"The Information of Large Language Model Geometry","created":"2024-02-01","cited_by_count":5,"area":null},{"id":"2412.02632","title":"Scaling Image Tokenizers with Grouped Spherical Quantization","created":"2024-12-03","cited_by_count":4,"area":null},{"id":"2505.12576","title":"AdaDim: Dimensionality Adaptation for SSL Representational Dynamics","created":"2025-05-18","cited_by_count":4,"area":null},{"id":"2406.03999","title":"Unveiling the Dynamics of Information Interplay in Supervised Learning","created":"2024-06-06","cited_by_count":3,"area":null},{"id":"2310.02903","title":"FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning","created":"2023-10-04","cited_by_count":2,"area":null},{"id":"2409.08509","title":"Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense","created":"2024-09-13","cited_by_count":1,"area":null},{"id":"2409.16767","title":"Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training","created":"2024-09-25","cited_by_count":1,"area":null},{"id":"2511.06450","title":"Countering Multi-modal Representation Collapse through Rank-targeted Fusion","created":"2025-11-09","cited_by_count":1,"area":null},{"id":"2602.10062","title":"Vendi Novelty Scores for Out-of-Distribution Detection","created":"2026-02-10","cited_by_count":1,"area":null},{"id":"2311.11091","title":"Deep Tensor Network","created":"2023-11-18","cited_by_count":0,"area":null},{"id":"2410.17428","title":"Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2502.20763","title":"Information-Theoretic Perspectives on Optimizers","created":"2025-02-28","cited_by_count":0,"area":null},{"id":"2603.12594","title":"Maximizing Incremental Information Entropy for Contrastive Learning","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2605.20302","title":"Neural Collapse by Design: Learning Class Prototypes on the Hypersphere","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.29720","title":"Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets","created":"2026-05-28","cited_by_count":0,"area":null}],"next_cursor":null}