{"total":31,"rows":[{"id":"2309.07311","title":"Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs","created":"2023-09-13","cited_by_count":124,"area":null},{"id":"2402.17772","title":"EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs","created":"2024-02-17","cited_by_count":50,"area":null},{"id":"2412.09563","title":"Does Representation Matter? Exploring Intermediate Layers in Large Language Models","created":"2024-12-12","cited_by_count":34,"area":null},{"id":"2405.05012","title":"The Entropy Enigma: Success and Failure of Entropy Minimization","created":"2024-05-08","cited_by_count":24,"area":null},{"id":"2306.13292","title":"Variance-Covariance Regularization Improves Representation Learning","created":"2023-06-23","cited_by_count":14,"area":null},{"id":"2401.09266","title":"P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering","created":"2024-01-17","cited_by_count":13,"area":null},{"id":"2406.11624","title":"Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers","created":"2024-06-17","cited_by_count":9,"area":null},{"id":"2505.05892","title":"Register and [CLS] tokens yield a decoupling of local and global features in large ViTs","created":"2025-05-09","cited_by_count":9,"area":null},{"id":"2501.18452","title":"Clustering Properties of Self-Supervised Learning","created":"2025-01-30","cited_by_count":8,"area":null},{"id":"2410.07687","title":"Learning to Compress: Local Rank and Information Compression in Deep Neural Networks","created":"2024-10-10","cited_by_count":7,"area":null},{"id":"2410.23200","title":"HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms","created":"2024-10-30","cited_by_count":7,"area":null},{"id":"2309.14770","title":"KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation","created":"2023-09-26","cited_by_count":6,"area":null},{"id":"2502.18331","title":"BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle","created":"2025-02-22","cited_by_count":6,"area":null},{"id":"2506.05801","title":"Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model","created":"2025-06-06","cited_by_count":6,"area":null},{"id":"2402.01399","title":"A Probabilistic Model Behind Self-Supervised Learning","created":"2024-02-02","cited_by_count":5,"area":null},{"id":"2506.04411","title":"Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning","created":"2025-06-04","cited_by_count":5,"area":null},{"id":"2605.03517","title":"Understanding Self-Supervised Learning via Latent Distribution Matching","created":"2026-05-05","cited_by_count":4,"area":null},{"id":"2407.19889","title":"Self-Supervised Learning for Text Recognition: A Critical Survey","created":"2024-07-29","cited_by_count":3,"area":null},{"id":"2603.03530","title":"Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning","created":"2026-03-03","cited_by_count":3,"area":null},{"id":"2404.03446","title":"SP$^2$OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering","created":"2024-04-04","cited_by_count":2,"area":null},{"id":"2510.08852","title":"On the Alignment Between Supervised and Self-Supervised Contrastive Learning","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2401.08860","title":"Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization","created":"2024-01-16","cited_by_count":1,"area":null},{"id":"2603.08159","title":"Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2310.08738","title":"Splicing Up Your Predictions with RNA Contrastive Learning","created":"2023-10-12","cited_by_count":0,"area":null},{"id":"2404.09645","title":"Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning","created":"2024-04-15","cited_by_count":0,"area":null},{"id":"2411.15694","title":"Deep Sparse Latent Feature Models for Knowledge Graph Completion","created":"2024-11-24","cited_by_count":0,"area":null},{"id":"2601.11334","title":"Information Theoretic Perspective on Representation Learning","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2606.21590","title":"Radial Basis Function Networks as Projection Heads in Self-Supervised Learning","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.09785","title":"Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2609.37789","title":"Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38393","title":"Which Tasks Survive Self-Supervised Learning?","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}