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 1301–1350 of 6661 papers

TitleStatusHype
Contrastive Video Question Answering via Video Graph TransformerCode1
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image ClassificationCode1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-IdentificationCode1
Contrastive Learning for Prompt-Based Few-Shot Language LearnersCode1
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic SegmentationCode1
Contrastive learning for regression in multi-site brain age predictionCode1
An Efficient Self-Supervised Cross-View Training For Sentence EmbeddingCode1
Contrastive Learning Reduces Hallucination in ConversationsCode1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic RepresentationsCode1
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph CompletionCode1
Transferring Unconditional to Conditional GANs with Hyper-ModulationCode1
Hypergraph Contrastive Learning for Drug Trafficking Community DetectionCode1
Contrastive Learning for Sports Video: Unsupervised Player ClassificationCode1
An Empirical Study on Disentanglement of Negative-free Contrastive LearningCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
Contrastive Learning for Unpaired Image-to-Image TranslationCode1
Automated Essay Scoring via Pairwise Contrastive RegressionCode1
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationCode1
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsCode1
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional NetworksCode1
Image-Text Co-Decomposition for Text-Supervised Semantic SegmentationCode1
ImagiNet: A Multi-Content Benchmark for Synthetic Image DetectionCode1
Contrastive Learning for Weakly Supervised Phrase GroundingCode1
Large-Scale Representation Learning on Graphs via BootstrappingCode1
Contrastive Learning with Adversarial Perturbations for Conditional Text GenerationCode1
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action RecognitionCode1
Improving Antibody Humanness Prediction using Patent DataCode1
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action RecognitionCode1
Improving Contrastive Learning by Visualizing Feature TransformationCode1
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved NegativesCode1
Improving Contrastive Learning on Imbalanced Seed Data via Open-World SamplingCode1
Contrastive Learning Improves Model Robustness Under Label NoiseCode1
Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image CaptioningCode1
Improving Gloss-free Sign Language Translation by Reducing Representation DensityCode1
Contrastive Learning Inverts the Data Generating ProcessCode1
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddingsCode1
Bootstrapping Semantic Segmentation with Regional ContrastCode1
Contrastive Learning Is Spectral Clustering On Similarity GraphCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
Improving Music Performance Assessment with Contrastive LearningCode1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesCode1
CONVERT:Contrastive Graph Clustering with Reliable AugmentationCode1
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little CostCode1
Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little CostCode1
Contrastive Learning of User Behavior Sequence for Context-Aware Document RankingCode1
DetCo: Unsupervised Contrastive Learning for Object DetectionCode1
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery CluesCode1
Diffusion-based Contrastive Learning for Sequential RecommendationCode1
Show:102550
← PrevPage 27 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