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 1151–1200 of 6661 papers

TitleStatusHype
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural LanguageCode1
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design ModelsCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
A Broad Study on the Transferability of Visual Representations with Contrastive LearningCode1
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet ExtractionCode1
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-SeriesCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input RepresentationCode1
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive LearningCode1
Contrastive Learning for Knowledge TracingCode1
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited ModalitiesCode1
Alleviating Over-smoothing for Unsupervised Sentence RepresentationCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion ClassificationCode1
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image SynthesisCode1
Conditional Contrastive Learning with KernelCode1
Automated Spatio-Temporal Graph Contrastive LearningCode1
Efficient Action Counting with Dynamic QueriesCode1
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum LearningCode1
Contrastive Laplacian EigenmapsCode1
Behavior Contrastive Learning for Unsupervised Skill DiscoveryCode1
Efficient Non-Local Contrastive Attention for Image Super-ResolutionCode1
Efficient Vision-Language Pre-training by Cluster MaskingCode1
Contrastive ClusteringCode1
Contrastive Code Representation LearningCode1
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasetsCode1
Contrastive Collaborative Filtering for Cold-Start Item RecommendationCode1
Benchmarking Omni-Vision Representation through the Lens of Visual RealmsCode1
Contrastive Learning for Many-to-many Multilingual Neural Machine TranslationCode1
CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive LearningCode1
End-to-end training of Multimodal Model and ranking ModelCode1
Contrastive Learning for Prompt-Based Few-Shot Language LearnersCode1
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation DistillationCode1
Enhancing Adversarial Contrastive Learning via Adversarial Invariant RegularizationCode1
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based AdaptationCode1
Contrastive Cross-domain Recommendation in MatchingCode1
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging DataCode1
Data Augmenting Contrastive Learning of Speech Representations in the Time DomainCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
Adaptive Soft Contrastive LearningCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Contrastive Deep SupervisionCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
Enriched Music Representations with Multiple Cross-modal Contrastive LearningCode1
Towards Cross-Table Masked Pretraining for Web Data MiningCode1
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling CasesCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal ConversionCode1
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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