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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 6661 papers

TitleStatusHype
Do Generated Data Always Help Contrastive Learning?Code1
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning ViewCode1
Aligning Text to Image in Diffusion Models is Easier Than You ThinkCode1
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive LearningCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
Contrastive Learning for Unpaired Image-to-Image TranslationCode1
DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare DataCode1
Driver Anomaly Detection: A Dataset and Contrastive Learning ApproachCode1
Contrastive Learning for Prompt-Based Few-Shot Language LearnersCode1
Biomedical Entity Linking with Contrastive Context MatchingCode1
Contrastive learning for regression in multi-site brain age predictionCode1
Contrastive Learning Inverts the Data Generating ProcessCode1
Contrastive Learning for Improving ASR Robustness in Spoken Language UnderstandingCode1
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language ModelsCode1
Contrastive Learning for Knowledge TracingCode1
Contrastive Learning for Conversion Rate PredictionCode1
Contrastive Learning for Compact Single Image DehazingCode1
Contrastive Learning for Cross-Domain Open World RecognitionCode1
Contrastive Learning for Many-to-many Multilingual Neural Machine TranslationCode1
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple LanguagesCode1
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-trainingCode1
A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving SystemsCode1
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose EstimationCode1
Contrastive Learning and Mixture of Experts Enables Precise Vector EmbeddingsCode1
Contrastive Learning for Cold-Start RecommendationCode1
Contrastive Learning for Neural Topic ModelCode1
Contrastive Learning Is Spectral Clustering On Similarity GraphCode1
Contrastive Grouping with Transformer for Referring Image SegmentationCode1
Big Self-Supervised Models Advance Medical Image ClassificationCode1
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionCode1
Contrastive Embeddings for Neural ArchitecturesCode1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Contrastive Fine-grained Class Clustering via Generative Adversarial NetworksCode1
Contrastive Label Disambiguation for Partial Label LearningCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Contrastive Cross-domain Recommendation in MatchingCode1
Contrastive Deep SupervisionCode1
An Empirical Study on Disentanglement of Negative-free Contrastive LearningCode1
Contrastive Collaborative Filtering for Cold-Start Item RecommendationCode1
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation DistillationCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
Contrastive Laplacian EigenmapsCode1
An Efficient Self-Supervised Cross-View Training For Sentence EmbeddingCode1
Contrastive Bayesian Analysis for Deep Metric LearningCode1
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR DataCode1
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited ModalitiesCode1
Contrastive ClusteringCode1
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-SeriesCode1
Show:102550
← PrevPage 11 of 134Next →
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