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 351–400 of 6661 papers

TitleStatusHype
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningCode1
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural NetworksCode1
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image TranslationCode1
ContraCLM: Contrastive Learning For Causal Language ModelCode1
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive LearningCode1
Unraveling Instance Associations: A Closer Look for Audio-Visual SegmentationCode1
Consistent Explanations by Contrastive LearningCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure EstimationCode1
3D Human Action Representation Learning via Cross-View Consistency PursuitCode1
Adversarial Contrastive Learning via Asymmetric InfoNCECode1
Constructing Tree-based Index for Efficient and Effective Dense RetrievalCode1
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferCode1
Temporal Context Aggregation for Video Retrieval with Contrastive LearningCode1
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with GeneticsCode1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionCode1
Consistent Representation Learning for Continual Relation ExtractionCode1
Adversarial Examples Are Not Real FeaturesCode1
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
A Closer Look at Self-Supervised Lightweight Vision TransformersCode1
3D Human Pose, Shape and Texture from Low-Resolution Images and VideosCode1
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Adversarial Graph Augmentation to Improve Graph Contrastive LearningCode1
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised LearningCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Conditional Contrastive Learning with KernelCode1
Contrastive Bayesian Analysis for Deep Metric LearningCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Contrastive Collaborative Filtering for Cold-Start Item RecommendationCode1
Contrastive Cross-domain Recommendation in MatchingCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
3D Infomax improves GNNs for Molecular Property PredictionCode1
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-SupervisionCode1
Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMsCode1
A Review-aware Graph Contrastive Learning Framework for RecommendationCode1
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised LearningCode1
Contrastive Laplacian EigenmapsCode1
Contrastive Learning and Mixture of Experts Enables Precise Vector EmbeddingsCode1
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple LanguagesCode1
Adversarial Self-Supervised Contrastive LearningCode1
Attentive Mask CLIPCode1
3D Interaction Geometric Pre-training for Molecular Relational LearningCode1
Artistic Style Transfer with Internal-external Learning and Contrastive LearningCode1
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World AttacksCode1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Contrastive Learning for Many-to-many Multilingual Neural Machine TranslationCode1
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
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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