{"total":17,"rows":[{"id":"2509.10151","title":"BenchECG and xECG: a benchmark and baseline for ECG foundation models","created":"2025-09-12","cited_by_count":9,"area":null},{"id":"2511.17309","title":"MuM: Multi-View Masked Image Modeling for 3D Vision","created":"2025-11-21","cited_by_count":5,"area":null},{"id":"2512.11582","title":"Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model","created":"2025-12-12","cited_by_count":4,"area":null},{"id":"2604.07904","title":"Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency","created":"2026-04-09","cited_by_count":3,"area":null},{"id":"2605.20107","title":"Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction","created":"2026-05-19","cited_by_count":3,"area":null},{"id":"2509.01360","title":"M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision","created":"2025-09-01","cited_by_count":2,"area":null},{"id":"2510.27584","title":"Image Hashing via Cross-View Code Alignment in the Age of Foundation Models","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2602.09764","title":"Self-Supervised Learning as Discrete Communication","created":"2026-02-10","cited_by_count":2,"area":null},{"id":"2602.19863","title":"Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation","created":"2026-02-23","cited_by_count":2,"area":null},{"id":"2509.14427","title":"Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models","created":"2025-09-17","cited_by_count":1,"area":null},{"id":"2510.20108","title":"Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2604.27538","title":"Self-Supervised Learning of Plant Image Representations","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2605.29691","title":"Unsupervised Semantic Segmentation Facilitates Model Understanding","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2608.27226","title":"DINOcular: Self-Supervised Visuospatial Representations","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.21001","title":"On the Limits of Maximal Coding Rate Reduction for Out-of-Distribution Generalisation","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.28187","title":"Two Global Crops Suffice: Locating Semantic Emergence in DINO-Style Self-Supervised Learning","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.38278","title":"Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learning","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}