{"total":26,"rows":[{"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":"2206.01816","title":"From $t$-SNE to UMAP with contrastive learning","created":"2022-06-03","cited_by_count":28,"area":null},{"id":"2303.15103","title":"Contrastive Learning Is Spectral Clustering On Similarity Graph","created":"2023-03-27","cited_by_count":25,"area":null},{"id":"2305.17326","title":"Matrix Information Theory for Self-Supervised Learning","created":"2023-05-27","cited_by_count":21,"area":null},{"id":"2306.04160","title":"Rethinking Weak Supervision in Helping Contrastive Learning","created":"2023-06-07","cited_by_count":18,"area":null},{"id":"2210.09879","title":"Unsupervised visualization of image datasets using contrastive learning","created":"2022-10-18","cited_by_count":16,"area":null},{"id":"2309.17281","title":"Information Flow in Self-Supervised Learning","created":"2023-09-29","cited_by_count":16,"area":null},{"id":"2504.16929","title":"I-Con: A Unifying Framework for Representation Learning","created":"2025-04-23","cited_by_count":16,"area":null},{"id":"2306.02595","title":"Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization","created":"2023-06-05","cited_by_count":14,"area":null},{"id":"2303.01092","title":"ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations","created":"2023-03-02","cited_by_count":10,"area":null},{"id":"2206.00471","title":"Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps","created":"2022-06-01","cited_by_count":5,"area":null},{"id":"2301.12189","title":"Deciphering the Projection Head: Representation Evaluation Self-supervised Learning","created":"2023-01-28","cited_by_count":5,"area":null},{"id":"2503.09101","title":"The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction","created":"2025-03-12","cited_by_count":5,"area":null},{"id":"2511.03114","title":"An Augmentation Overlap Theory of Contrastive Learning","created":"2025-11-05","cited_by_count":5,"area":null},{"id":"2411.15894","title":"Navigating the Effect of Parametrization for Dimensionality Reduction","created":"2024-11-24","cited_by_count":3,"area":null},{"id":"2505.22196","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2501.01317","title":"Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective","created":"2025-01-02","cited_by_count":2,"area":null},{"id":"2409.11509","title":"FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction","created":"2024-09-17","cited_by_count":1,"area":null},{"id":"2503.23822","title":"Node Embeddings via Neighbor Embeddings","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2601.20173","title":"MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2410.00772","title":"On the Generalization and Causal Explanation in Self-Supervised Learning","created":"2024-10-01","cited_by_count":0,"area":null},{"id":"2410.20219","title":"Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery","created":"2024-10-26","cited_by_count":0,"area":null},{"id":"2602.04021","title":"Group Contrastive Learning for Weakly Paired Multimodal Data","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2602.11662","title":"UMAP Is Spectral Clustering on the Fuzzy Nearest-Neighbor Graph","created":"2026-02-12","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":"2609.38545","title":"Say, Echo, Do: Strategic Narratives and Revealed Positioning in Financial Markets","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}