SOTAVerified

Contrastive Learning

Contrastive Learning is a deep learning technique for unsupervised representation learning. The goal is to learn a representation of data such that similar instances are close together in the representation space, while dissimilar instances are far apart.

It has been shown to be effective in various computer vision and natural language processing tasks, including image retrieval, zero-shot learning, and cross-modal retrieval. In these tasks, the learned representations can be used as features for downstream tasks such as classification and clustering.

(Image credit: Schroff et al. 2015)

Papers

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Showing 2201–2250 of 6661 papers

TitleStatusHype
MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-trainingCode0
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot LearningCode0
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-TrainingCode0
Multi-task Meta Label Correction for Time Series PredictionCode0
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric VideosCode0
Cross-Task Consistency Learning Framework for Multi-Task LearningCode0
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patientsCode0
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised LearningCode0
A Self-Supervised Model for Multi-modal Stroke Risk PredictionCode0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer AnalysisCode0
Medical Question Summarization with Entity-driven Contrastive LearningCode0
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic ImagesCode0
Medication Recommendation via Dual Molecular Modalities and Multi-Step EnhancementCode0
MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained AlignmentCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive LearningCode0
Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment RetrievalCode0
Chasing Fairness in Graphs: A GNN Architecture PerspectiveCode0
Cross-Modal Contrastive Learning for Robust Reasoning in VQACode0
Crossmodal clustered contrastive learning: Grounding of spoken language to gestureCode0
MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental PerceptionCode0
CrossMoCo: Multi-modal Momentum Contrastive Learning for Point CloudCode0
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You WhereCode0
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure ImageCode0
Mask-Guided Contrastive Attention Model for Person Re-IdentificationCode0
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series ForecastingCode0
Mask-informed Deep Contrastive Incomplete Multi-view ClusteringCode0
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource LanguagesCode0
Cross-lingual Contextualized Phrase RetrievalCode0
A Self-explaining Neural Architecture for Generalizable Concept LearningCode0
CGRclust: Chaos Game Representation for Twin Contrastive Clustering of Unlabelled DNA SequencesCode0
Cross-domain Contrastive Learning for Unsupervised Domain AdaptationCode0
A Computational Framework for Slang GenerationCode0
Masked Collaborative Contrast for Weakly Supervised Semantic SegmentationCode0
CFL-Net: Image Forgery Localization Using Contrastive LearningCode0
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding ResiduesCode0
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive LearningCode0
CropMix: Sampling a Rich Input Distribution via Multi-Scale CroppingCode0
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive LearningCode0
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation AlignmentCode0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation dataCode0
Criteria Comparative Learning for Real-scene Image Super-ResolutionCode0
Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture LearningCode0
Manifold Contrastive Learning with Variational Lie Group OperatorsCode0
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography ClassificationCode0
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic ImagesCode0
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential RecommendationCode0
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt TuningCode0
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All datasetsimagenet-1k10,000 People - Human Pose Recognition DataCIFAR-10STL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet50ImageNet Top-1 Accuracy73.6—Unverified
2ResNet50ImageNet Top-1 Accuracy73—Unverified
3ResNet50ImageNet Top-1 Accuracy71.1—Unverified
4ResNet50ImageNet Top-1 Accuracy69.3—Unverified
5ResNet50 (v2)ImageNet Top-1 Accuracy67.6—Unverified
6ResNet50 (v2)ImageNet Top-1 Accuracy63.8—Unverified
7ResNet50ImageNet Top-1 Accuracy63.6—Unverified
8ResNet50ImageNet Top-1 Accuracy61.5—Unverified
9ResNet50ImageNet Top-1 Accuracy61.5—Unverified
10ResNet50 (4×)ImageNet Top-1 Accuracy61.3—Unverified
#ModelMetricClaimedVerifiedStatus
110..5sec1—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)84.77—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)85.55—Unverified