{"total":62,"rows":[{"id":"2304.12210","title":"A Cookbook of Self-Supervised Learning","created":"2023-04-24","cited_by_count":250,"area":null},{"id":"2210.02885","title":"RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank","created":"2022-10-05","cited_by_count":153,"area":null},{"id":"2210.01571","title":"VICRegL: Self-Supervised Learning of Local Visual Features","created":"2022-10-04","cited_by_count":118,"area":null},{"id":"2206.02574","title":"On the duality between contrastive and non-contrastive self-supervised learning","created":"2022-06-03","cited_by_count":108,"area":null},{"id":"2303.06873","title":"Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images","created":"2023-03-13","cited_by_count":91,"area":null},{"id":"2203.08777","title":"Object discovery and representation networks","created":"2022-03-16","cited_by_count":80,"area":null},{"id":"2206.01204","title":"Siamese Image Modeling for Self-Supervised Vision Representation Learning","created":"2022-06-02","cited_by_count":78,"area":null},{"id":"2206.02909","title":"Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data","created":"2022-06-06","cited_by_count":75,"area":null},{"id":"2205.00329","title":"Continual Learning with Foundation Models: An Empirical Study of Latent Replay","created":"2022-04-30","cited_by_count":61,"area":null},{"id":"2209.11883","title":"Hebbian Deep Learning Without Feedback","created":"2022-09-23","cited_by_count":61,"area":null},{"id":"2307.12698","title":"MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features","created":"2023-07-24","cited_by_count":57,"area":null},{"id":"2305.03034","title":"Contrastive Mean Teacher for Domain Adaptive Object Detectors","created":"2023-05-04","cited_by_count":53,"area":null},{"id":"2302.10283","title":"Self-supervised learning of Split Invariant Equivariant representations","created":"2023-02-14","cited_by_count":44,"area":null},{"id":"2202.12387","title":"Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance","created":"2022-02-24","cited_by_count":43,"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":"2303.03307","title":"Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations","created":"2023-03-06","cited_by_count":31,"area":null},{"id":"2206.13378","title":"Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning","created":"2022-06-27","cited_by_count":26,"area":null},{"id":"2305.11965","title":"Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization","created":"2023-05-19","cited_by_count":25,"area":null},{"id":"2211.09981","title":"Weighted Ensemble Self-Supervised Learning","created":"2022-11-18","cited_by_count":19,"area":null},{"id":"2210.12637","title":"Neural Eigenfunctions Are Structured Representation Learners","created":"2022-10-23","cited_by_count":16,"area":null},{"id":"2406.01253","title":"animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics","created":"2024-06-03","cited_by_count":14,"area":null},{"id":"2303.09417","title":"All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction","created":"2023-03-16","cited_by_count":11,"area":null},{"id":"2210.09224","title":"Self-Supervised Learning Through Efference Copies","created":"2022-10-17","cited_by_count":9,"area":null},{"id":"2209.15589","title":"Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods","created":"2022-09-30","cited_by_count":8,"area":null},{"id":"2311.00447","title":"On the Opportunities of Green Computing: A Survey","created":"2023-11-01","cited_by_count":7,"area":null},{"id":"2411.06508","title":"Understanding the Role of Equivariance in Self-supervised Learning","created":"2024-11-10","cited_by_count":7,"area":null},{"id":"2212.13425","title":"GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning","created":"2022-12-27","cited_by_count":6,"area":null},{"id":"2301.05158","title":"SemPPL: Predicting pseudo-labels for better contrastive representations","created":"2023-01-12","cited_by_count":6,"area":null},{"id":"2305.10926","title":"HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes","created":"2023-05-18","cited_by_count":6,"area":null},{"id":"2410.02401","title":"SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning","created":"2024-10-03","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":"2209.15525","title":"Slimmable Networks for Contrastive Self-supervised Learning","created":"2022-09-30","cited_by_count":4,"area":null},{"id":"2305.08826","title":"Learning Better Contrastive View from Radiologist's Gaze","created":"2023-05-15","cited_by_count":4,"area":null},{"id":"2603.17196","title":"Self-Conditioned Denoising for Atomistic Representation Learning","created":"2026-03-17","cited_by_count":4,"area":null},{"id":"2211.02798","title":"Local Manifold Augmentation for Multiview Semantic Consistency","created":"2022-11-05","cited_by_count":3,"area":null},{"id":"2303.12992","title":"A Survey of Historical Learning: Learning Models with Learning History","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2402.15172","title":"Attention-Guided Masked Autoencoders For Learning Image Representations","created":"2024-02-23","cited_by_count":3,"area":null},{"id":"2506.13717","title":"Contrastive Self-Supervised Learning As Neural Manifold Packing","created":"2025-06-16","cited_by_count":3,"area":null},{"id":"2509.09429","title":"Semantic Concentration for Self-Supervised Dense Representations Learning","created":"2025-09-11","cited_by_count":3,"area":null},{"id":"2211.17042","title":"Spatio-Temporal Crop Aggregation for Video Representation Learning","created":"2022-11-30","cited_by_count":2,"area":null},{"id":"2302.09579","title":"Evaluating Representations with Readout Model Switching","created":"2023-02-19","cited_by_count":2,"area":null},{"id":"2308.15704","title":"Towards a Rigorous Analysis of Mutual Information in Contrastive Learning","created":"2023-08-30","cited_by_count":2,"area":null},{"id":"2309.01408","title":"Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2309.16109","title":"Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2401.00873","title":"Unifying Self-Supervised Clustering and Energy-Based Models","created":"2023-12-30","cited_by_count":2,"area":null},{"id":"2406.12368","title":"MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2508.04441","title":"Benchmarking Foundation Models for Mitotic Figure Classification","created":"2025-08-06","cited_by_count":2,"area":null},{"id":"2208.09600","title":"Looking For A Match: Self-supervised Clustering For Automatic Doubt Matching In e-learning Platforms","created":"2022-08-20","cited_by_count":1,"area":null},{"id":"2401.05730","title":"Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing","created":"2024-01-11","cited_by_count":1,"area":null},{"id":"2401.15120","title":"Incorporating simulated spatial context information improves the effectiveness of contrastive learning models","created":"2024-01-26","cited_by_count":1,"area":null},{"id":"2405.01053","title":"On the Universality of Self-Supervised Learning","created":"2024-05-02","cited_by_count":1,"area":null},{"id":"2408.01031","title":"POA: Pre-training Once for Models of All Sizes","created":"2024-08-02","cited_by_count":1,"area":null},{"id":"2502.20885","title":"A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2601.14256","title":"Implicit Neural Representation Facilitates Unified Universal Vision Encoding","created":"2026-01-20","cited_by_count":1,"area":null},{"id":"2609.01041","title":"ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives","created":"2026-09-01","cited_by_count":1,"area":null},{"id":"2305.17791","title":"LowDINO -- A Low Parameter Self Supervised Learning Model","created":"2023-05-28","cited_by_count":0,"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":"2408.04242","title":"The Ungrounded Alignment Problem","created":"2024-08-08","cited_by_count":0,"area":null},{"id":"2508.06556","title":"From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2508.13596","title":"A Generalized Learning Framework for Self-Supervised Contrastive Learning","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2602.05845","title":"Self-Supervised Learning with a Multi-Task Latent Space Objective","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2605.04606","title":"Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness","created":"2026-05-06","cited_by_count":0,"area":null}],"next_cursor":null}