SOTAVerified

Self-Supervised Learning

Self-Supervised Learning is proposed for utilizing unlabeled data with the success of supervised learning. Producing a dataset with good labels is expensive, while unlabeled data is being generated all the time. The motivation of Self-Supervised Learning is to make use of the large amount of unlabeled data. The main idea of Self-Supervised Learning is to generate the labels from unlabeled data, according to the structure or characteristics of the data itself, and then train on this unsupervised data in a supervised manner. Self-Supervised Learning is wildly used in representation learning to make a model learn the latent features of the data. This technique is often employed in computer vision, video processing and robot control.

Source: Self-supervised Point Set Local Descriptors for Point Cloud Registration

Image source: LeCun

Papers

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Showing 1351–1400 of 5044 papers

TitleStatusHype
A Self-Correcting Sequential RecommenderCode1
Self-supervised 3D Representation Learning of Dressed Humans from Social Media VideosCode1
CCVS: Context-aware Controllable Video SynthesisCode1
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward ShapingCode1
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Learning High-Level Policies for Model Predictive ControlCode1
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment AnalysisCode1
Learning Navigational Visual Representations with Semantic Map SupervisionCode1
Learning Representations with Contrastive Self-Supervised Learning for Histopathology ApplicationsCode1
ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution ShiftsCode1
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and BeyondCode1
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restorationCode1
Contrastive-Signal-Dependent Plasticity: Self-Supervised Learning in Spiking Neural CircuitsCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised LearningCode1
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-IdentificationCode1
Finding Tori: Self-supervised Learning for Analyzing Korean Folk SongCode1
Self-Supervised Representation Learning with Spatial-Temporal Consistency for Sign Language RecognitionCode1
Learning to Predict Navigational Patterns from Partial ObservationsCode1
Self-Supervised Dataset Distillation for Transfer LearningCode1
Enhancing Vision-Language Model with Unmasked Token AlignmentCode1
Learning Where to Learn in Cross-View Self-Supervised LearningCode1
Learning Visual Representations for Transfer Learning by Suppressing TextureCode1
Lexi: Self-Supervised Learning of the UI LanguageCode1
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series ForecastersCode1
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition ChallengesCode1
Change-Aware Sampling and Contrastive Learning for Satellite ImagesCode1
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive LossCode1
Self-supervised Video Representation Learning with Cross-Stream Prototypical ContrastingCode1
Equivariant Contrastive LearningCode1
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth EstimationCode1
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech RepresentationCode1
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation OverlapCode1
Evaluating Self-Supervised Learning via Risk DecompositionCode1
Light-weight probing of unsupervised representations for Reinforcement LearningCode1
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked AutoencodersCode1
Linguistics-aware Masked Image Modeling for Self-supervised Scene Text RecognitionCode1
BEATs: Audio Pre-Training with Acoustic TokenizersCode1
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic SegmentationCode1
SelfAugment: Automatic Augmentation Policies for Self-Supervised LearningCode1
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot LearningCode1
Evaluating Self-Supervised Learning for Molecular Graph EmbeddingsCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
ChemBERTa-2: Towards Chemical Foundation ModelsCode1
Learning with Unmasked Tokens Drives Stronger Vision LearnersCode1
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resectionsCode1
Evaluation of Speech Representations for MOS predictionCode1
SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative ArcsCode1
Exploiting Self-Supervised Constraints in Image Super-ResolutionCode1
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All datasetsDABSSTL-10CIFAR10cifar100ImageNet-100 (TEMI Split)TinyImageNetCIFAR-10CIFAR-100CREMA-DTiny ImageNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pretraining: NoneImages & Text57.5—Unverified
2Pretraining: ShEDImages & Text54.3—Unverified
3Pretraining: e-MixImages & Text48.9—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50Accuracy91.7—Unverified
2ResNet18Accuracy91.02—Unverified
3MV-MRAccuracy89.67—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50average top-1 classification accuracy93.89—Unverified
2ResNet18average top-1 classification accuracy92.58—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50average top-1 classification accuracy72.51—Unverified
2ResNet18average top-1 classification accuracy69.31—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet50)Top-1 Accuracy82.64—Unverified
2CorInfomax (ResNet18)Top-1 Accuracy80.48—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50average top-1 classification accuracy51.84—Unverified
2ResNet18average top-1 classification accuracy51.67—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet18)Top-1 Accuracy93.18—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet18)Top-1 Accuracy71.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Hybrid BYOL-S/CvTAccuracy67.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet50)Top-1 Accuracy54.86—Unverified