{"total":15,"rows":[{"id":"2301.05712","title":"A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends","created":"2023-01-13","cited_by_count":207,"area":null},{"id":"2305.13689","title":"Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training","created":"2023-05-23","cited_by_count":39,"area":null},{"id":"2310.18777","title":"Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings","created":"2023-10-28","cited_by_count":15,"area":null},{"id":"2210.05043","title":"Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling","created":"2022-10-10","cited_by_count":14,"area":null},{"id":"2410.14817","title":"A Complexity-Based Theory of Compositionality","created":"2024-10-18","cited_by_count":13,"area":null},{"id":"2503.00507","title":"Projection Head is Secretly an Information Bottleneck","created":"2025-03-01","cited_by_count":11,"area":null},{"id":"2302.08913","title":"Referential communication in heterogeneous communities of pre-trained visual deep networks","created":"2023-02-04","cited_by_count":10,"area":null},{"id":"2411.00392","title":"Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization","created":"2024-11-01","cited_by_count":9,"area":null},{"id":"2505.18671","title":"Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems","created":"2025-05-24","cited_by_count":7,"area":null},{"id":"2210.12635","title":"Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation","created":"2022-10-23","cited_by_count":4,"area":null},{"id":"2404.15721","title":"SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision","created":"2024-04-24","cited_by_count":4,"area":null},{"id":"2406.06848","title":"Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss","created":"2024-06-10","cited_by_count":3,"area":null},{"id":"2310.01807","title":"Discrete, compositional, and symbolic representations through attractor dynamics","created":"2023-10-03","cited_by_count":2,"area":null},{"id":"2406.09529","title":"Faithful Differentiable Reasoning with Reshuffled Region-based Embeddings","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2310.10143","title":"An Empirical Study of Self-supervised Learning with Wasserstein Distance","created":"2023-10-16","cited_by_count":0,"area":null}],"next_cursor":null}