{"total":251,"rows":[{"id":"2207.08051","title":"SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery","created":"2022-07-17","cited_by_count":408,"area":null},{"id":"2103.00550","title":"A Survey on Deep Semi-supervised Learning","created":"2021-02-28","cited_by_count":251,"area":null},{"id":"2101.02691","title":"Self-Supervised Pretraining of 3D Features on any Point-Cloud","created":"2021-01-07","cited_by_count":217,"area":null},{"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":"2103.01988","title":"Self-supervised Pretraining of Visual Features in the Wild","created":"2021-03-02","cited_by_count":198,"area":null},{"id":"2102.11005","title":"LogME: Practical Assessment of Pre-trained Models for Transfer Learning","created":"2021-02-22","cited_by_count":172,"area":null},{"id":"2103.16483","title":"Benchmarking Representation Learning for Natural World Image Collections","created":"2021-03-30","cited_by_count":168,"area":null},{"id":"2103.05905","title":"VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples","created":"2021-03-10","cited_by_count":154,"area":null},{"id":"2202.03423","title":"Backdoor Defense via Decoupling the Training Process","created":"2022-02-05","cited_by_count":153,"area":null},{"id":"2103.10957","title":"Efficient Visual Pretraining with Contrastive Detection","created":"2021-03-19","cited_by_count":150,"area":null},{"id":"2110.09327","title":"Self-Supervised Representation Learning: Introduction, Advances and Challenges","created":"2021-10-18","cited_by_count":148,"area":null},{"id":"2111.00064","title":"Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction","created":"2021-10-29","cited_by_count":138,"area":null},{"id":"2101.04731","title":"SEED: Self-supervised Distillation For Visual Representation","created":"2021-01-12","cited_by_count":134,"area":null},{"id":"2203.12719","title":"What to Hide from Your Students: Attention-Guided Masked Image Modeling","created":"2022-03-23","cited_by_count":118,"area":null},{"id":"2106.15252","title":"AutoNovel: Automatically Discovering and Learning Novel Visual Categories","created":"2021-06-29","cited_by_count":116,"area":null},{"id":"2104.03602","title":"SiT: Self-supervised vIsion Transformer","created":"2021-04-08","cited_by_count":99,"area":null},{"id":"2208.07422","title":"Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives","created":"2022-08-15","cited_by_count":98,"area":null},{"id":"2105.08054","title":"Divide and Contrast: Self-supervised Learning from Uncurated Data","created":"2021-05-17","cited_by_count":85,"area":null},{"id":"2202.08360","title":"Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision","created":"2022-02-16","cited_by_count":80,"area":null},{"id":"2202.00661","title":"When Do Flat Minima Optimizers Work?","created":"2022-02-01","cited_by_count":78,"area":null},{"id":"2204.04385","title":"Divergence-aware Federated Self-Supervised Learning","created":"2022-04-09","cited_by_count":73,"area":null},{"id":"2310.19909","title":"Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks","created":"2023-10-30","cited_by_count":72,"area":null},{"id":"2103.13646","title":"Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels","created":"2021-03-25","cited_by_count":69,"area":null},{"id":"2108.06492","title":"Collaborative Unsupervised Visual Representation Learning from Decentralized Data","created":"2021-08-14","cited_by_count":69,"area":null},{"id":"2102.05291","title":"Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels","created":"2021-02-10","cited_by_count":65,"area":null},{"id":"2202.12938","title":"Assessing the State of Self-Supervised Human Activity Recognition using Wearables","created":"2022-02-22","cited_by_count":65,"area":null},{"id":"2203.01205","title":"Audio Self-supervised Learning: A Survey","created":"2022-03-02","cited_by_count":65,"area":null},{"id":"2106.05961","title":"What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?","created":"2021-06-10","cited_by_count":63,"area":null},{"id":"2104.07070","title":"Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding","created":"2021-04-14","cited_by_count":58,"area":null},{"id":"2206.07869","title":"Let Invariant Rationale Discovery Inspire Graph Contrastive Learning","created":"2022-06-16","cited_by_count":57,"area":null},{"id":"2104.07841","title":"Pareto Self-Supervised Training for Few-Shot Learning","created":"2021-04-16","cited_by_count":52,"area":null},{"id":"2307.12914","title":"Towards a Visual-Language Foundation Model for Computational Pathology","created":"2023-07-24","cited_by_count":52,"area":null},{"id":"2106.05470","title":"Automated Self-Supervised Learning for Graphs","created":"2021-06-10","cited_by_count":50,"area":null},{"id":"2102.06866","title":"Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning","created":"2021-02-13","cited_by_count":47,"area":null},{"id":"2103.03423","title":"Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images","created":"2021-03-05","cited_by_count":45,"area":null},{"id":"2103.09742","title":"Training GANs with Stronger Augmentations via Contrastive Discriminator","created":"2021-03-17","cited_by_count":45,"area":null},{"id":"2106.09171","title":"LiRA: Learning Visual Speech Representations from Audio through Self-supervision","created":"2021-06-16","cited_by_count":44,"area":null},{"id":"2207.06214","title":"Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation","created":"2022-07-13","cited_by_count":43,"area":null},{"id":"2105.01899","title":"MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering","created":"2021-05-05","cited_by_count":42,"area":null},{"id":"2308.15474","title":"A General-Purpose Self-Supervised Model for Computational Pathology","created":"2023-08-29","cited_by_count":42,"area":null},{"id":"2109.12909","title":"Compressive Visual Representations","created":"2021-09-27","cited_by_count":41,"area":null},{"id":"2108.05617","title":"Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning","created":"2021-08-12","cited_by_count":40,"area":null},{"id":"2204.08587","title":"Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction","created":"2022-04-18","cited_by_count":39,"area":null},{"id":"2103.13716","title":"Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting","created":"2021-03-25","cited_by_count":38,"area":null},{"id":"2106.01908","title":"You Never Cluster Alone","created":"2021-06-03","cited_by_count":38,"area":null},{"id":"2207.07106","title":"Benchmarking Omni-Vision Representation through the Lens of Visual Realms","created":"2022-07-14","cited_by_count":38,"area":null},{"id":"2209.07999","title":"Self-Supervised Learning with an Information Maximization Criterion","created":"2022-09-16","cited_by_count":38,"area":null},{"id":"2401.02013","title":"SwitchTab: Switched Autoencoders Are Effective Tabular Learners","created":"2024-01-04","cited_by_count":38,"area":null},{"id":"2107.05276","title":"Geographical Knowledge-driven Representation Learning for Remote Sensing Images","created":"2021-07-12","cited_by_count":37,"area":null},{"id":"2112.00496","title":"Revisiting the Transferability of Supervised Pretraining: an MLP Perspective","created":"2021-12-01","cited_by_count":36,"area":null},{"id":"2101.06480","title":"SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning","created":"2021-01-16","cited_by_count":35,"area":null},{"id":"2108.00049","title":"Object-aware Contrastive Learning for Debiased Scene Representation","created":"2021-07-30","cited_by_count":35,"area":null},{"id":"2203.10339","title":"Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation","created":"2022-03-19","cited_by_count":34,"area":null},{"id":"2109.05554","title":"No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets","created":"2021-09-12","cited_by_count":31,"area":null},{"id":"2104.03531","title":"Pseudo-supervised Deep Subspace Clustering","created":"2021-04-08","cited_by_count":29,"area":null},{"id":"2212.01141","title":"MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series","created":"2022-12-02","cited_by_count":28,"area":null},{"id":"2109.07839","title":"Self-supervised Contrastive Learning for EEG-based Sleep Staging","created":"2021-09-16","cited_by_count":27,"area":null},{"id":"2104.09124","title":"DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning","created":"2021-04-19","cited_by_count":26,"area":null},{"id":"2103.16808","title":"Self-Supervised Euphemism Detection and Identification for Content Moderation","created":"2021-03-31","cited_by_count":25,"area":null},{"id":"2104.04569","title":"Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling","created":"2021-04-09","cited_by_count":25,"area":null},{"id":"2310.18541","title":"ReConTab: Regularized Contrastive Representation Learning for Tabular Data","created":"2023-10-28","cited_by_count":25,"area":null},{"id":"2203.15702","title":"Contrasting the landscape of contrastive and non-contrastive learning","created":"2022-03-29","cited_by_count":24,"area":null},{"id":"2204.00616","title":"Simplicial Embeddings in Self-Supervised Learning and Downstream Classification","created":"2022-04-01","cited_by_count":24,"area":null},{"id":"2211.08129","title":"Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works","created":"2022-11-15","cited_by_count":24,"area":null},{"id":"2203.14221","title":"How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?","created":"2022-03-27","cited_by_count":23,"area":null},{"id":"2207.06167","title":"Unsupervised Visual Representation Learning by Synchronous Momentum Grouping","created":"2022-07-13","cited_by_count":22,"area":null},{"id":"2101.08122","title":"Self-supervised pre-training enhances change detection in Sentinel-2 imagery","created":"2021-01-20","cited_by_count":21,"area":null},{"id":"2104.00240","title":"Self-supervised Motion Learning from Static Images","created":"2021-04-01","cited_by_count":21,"area":null},{"id":"2103.14653","title":"Quantum Self-Supervised Learning","created":"2021-03-26","cited_by_count":20,"area":null},{"id":"2205.11423","title":"Decoder Denoising Pretraining for Semantic Segmentation","created":"2022-05-23","cited_by_count":20,"area":null},{"id":"2403.11391","title":"Investigating the Benefits of Projection Head for Representation Learning","created":"2024-03-18","cited_by_count":20,"area":null},{"id":"2407.12210","title":"A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification","created":"2024-07-16","cited_by_count":19,"area":null},{"id":"2109.09150","title":"A Study of the Generalizability of Self-Supervised Representations","created":"2021-09-19","cited_by_count":18,"area":null},{"id":"2103.03840","title":"Self-Supervised Longitudinal Neighbourhood Embedding","created":"2021-03-05","cited_by_count":16,"area":null},{"id":"2107.04938","title":"Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation","created":"2021-07-11","cited_by_count":16,"area":null},{"id":"2203.04814","title":"Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement","created":"2022-03-09","cited_by_count":16,"area":null},{"id":"2408.07221","title":"A Review of Pseudo-Labeling for Computer Vision","created":"2024-08-13","cited_by_count":16,"area":null},{"id":"2108.09671","title":"Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift","created":"2021-08-22","cited_by_count":14,"area":null},{"id":"2205.00627","title":"Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation","created":"2022-05-02","cited_by_count":14,"area":null},{"id":"2308.01578","title":"Unsupervised Representation Learning for Time Series: A Review","created":"2023-08-03","cited_by_count":14,"area":null},{"id":"2402.04841","title":"Data-efficient Large Vision Models through Sequential Autoregression","created":"2024-02-07","cited_by_count":14,"area":null},{"id":"2109.07455","title":"Deep Bregman Divergence for Contrastive Learning of Visual Representations","created":"2021-09-15","cited_by_count":13,"area":null},{"id":"2203.10581","title":"Cluster & Tune: Boost Cold Start Performance in Text Classification","created":"2022-03-20","cited_by_count":13,"area":null},{"id":"2207.01975","title":"Federated Self-supervised Learning for Video Understanding","created":"2022-07-05","cited_by_count":13,"area":null},{"id":"2410.05266","title":"Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers","created":"2024-10-07","cited_by_count":13,"area":null},{"id":"2106.10052","title":"On Contrastive Representations of Stochastic Processes","created":"2021-06-18","cited_by_count":12,"area":null},{"id":"2207.10553","title":"MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior","created":"2022-07-21","cited_by_count":12,"area":null},{"id":"2106.09703","title":"MaCLR: Motion-aware Contrastive Learning of Representations for Videos","created":"2021-06-17","cited_by_count":10,"area":null},{"id":"2201.10034","title":"Self-Supervised Point Cloud Registration with Deep Versatile Descriptors","created":"2022-01-25","cited_by_count":10,"area":null},{"id":"2203.09129","title":"Contrastive Learning with Positive-Negative Frame Mask for Music Representation","created":"2022-03-17","cited_by_count":10,"area":null},{"id":"2503.07596","title":"Denoising Hamiltonian Network for Physical Reasoning","created":"2025-03-10","cited_by_count":10,"area":null},{"id":"2101.10531","title":"Deep Learning for Scene Classification: A Survey","created":"2021-01-26","cited_by_count":9,"area":null},{"id":"2103.07825","title":"Radar Camera Fusion via Representation Learning in Autonomous Driving","created":"2021-03-14","cited_by_count":9,"area":null},{"id":"2103.13696","title":"SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama","created":"2021-03-25","cited_by_count":9,"area":null},{"id":"2106.16209","title":"A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering","created":"2021-06-30","cited_by_count":9,"area":null},{"id":"2109.10024","title":"Self-Supervised Action-Space Prediction for Automated Driving","created":"2021-09-21","cited_by_count":9,"area":null},{"id":"2206.08439","title":"OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology","created":"2022-06-16","cited_by_count":9,"area":null},{"id":"2308.11455","title":"A Survey on Self-Supervised Representation Learning","created":"2023-08-22","cited_by_count":9,"area":null},{"id":"2103.12719","title":"Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations","created":"2021-03-23","cited_by_count":8,"area":null},{"id":"2104.01641","title":"TATL: Task Agnostic Transfer Learning for Skin Attributes Detection","created":"2021-04-04","cited_by_count":8,"area":null}],"next_cursor":"100"}