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 1601–1650 of 5044 papers

TitleStatusHype
Contrastive Self-supervised Learning in Recommender Systems: A Survey—0
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos—0
Augmentations vs Algorithms: What Works in Self-Supervised Learning—0
Active Semantic Localization with Graph Neural Embedding—0
Improved Language Identification Through Cross-Lingual Self-Supervised Learning—0
Contrastive Self-Supervised Learning for Skeleton Representations—0
Augmentation-Free Graph Contrastive Learning with Performance Guarantee—0
Contrastive Self-supervised Learning for Graph Classification—0
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image—0
Contrastive Self-Supervised Learning As Neural Manifold Packing—0
Improved baselines for vision-language pre-training—0
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need—0
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation—0
Improved Intelligibility of Dysarthric Speech using Conditional Flow Matching—0
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning—0
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning—0
Audio-Visual Speech Enhancement Using Self-supervised Learning to Improve Speech Intelligibility in Cochlear Implant Simulations—0
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings—0
Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples—0
Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
Contrastive Learning with Positive-Negative Frame Mask for Music Representation—0
Active Self-Semi-Supervised Learning for Few Labeled Samples—0
A Survey of Generative Categories and Techniques in Multimodal Large Language Models—0
Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps—0
Audio-visual fine-tuning of audio-only ASR models—0
Contrastive Learning with Adversarial Examples—0
Audio-Visual Contrastive Learning with Temporal Self-Supervision—0
Align Representations With Base: A New Approach to Self-Supervised Learning—0
Audio Self-supervised Learning: A Survey—0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views—0
Audio-Guided Fusion Techniques for Multimodal Emotion Analysis—0
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning—0
Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning—0
Imposing Consistency for Optical Flow Estimation—0
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach—0
Contrastive learning, multi-view redundancy, and linear models—0
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds—0
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series—0
AACP: Aesthetics assessment of children's paintings based on self-supervised learning—0
Contrastive Learning from Demonstrations—0
Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency—0
Impact Analysis of the Use of Speech and Language Models Pretrained by Self-Supersivion for Spoken Language Understanding—0
Impact of Language Guidance: A Reproducibility Study—0
IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder—0
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning—0
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control—0
Contrastive General Graph Matching with Adaptive Augmentation Sampling—0
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning—0
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation—0
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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