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 2501–2525 of 6661 papers

Title	Date	Tasks	Status	Score
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words	Oct 24, 2023	Contrastive LearningSentence	CodeCode Available	5
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images	Apr 8, 2024	Contrastive LearningDecoder	CodeCode Available	5
Learning Tree-Structured Composition of Data Augmentation	Aug 26, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning	Jun 29, 2021	Contrastive LearningFew-Shot Learning	CodeCode Available	5
An Asymmetric Contrastive Loss for Handling Imbalanced Datasets	Jul 14, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	5
Learning the Simplicity of Scattering Amplitudes	Aug 8, 2024	Contrastive LearningDecoder	CodeCode Available	5
Learning Text Similarity with Siamese Recurrent Networks	Aug 1, 2016	Contrastive LearningRepresentation Learning	CodeCode Available	5
Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets	Feb 19, 2025	Contrastive Learning	CodeCode Available	5
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning	Jun 21, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	5
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs	Aug 19, 2023	Contrastive LearningImputation	CodeCode Available	5
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis	Feb 13, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
Learning Street View Representations with Spatiotemporal Contrast	Feb 7, 2025	Contrastive LearningRepresentation Learning	CodeCode Available	5
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images	Apr 20, 2023	ClassificationContrastive Learning	CodeCode Available	5
Learning Node Representations against Perturbations	Aug 26, 2020	Contrastive LearningInductive Learning	CodeCode Available	5
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration	Sep 16, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
Accommodating Audio Modality in CLIP for Multimodal Processing	Mar 12, 2023	AudioCapsContrastive Learning	CodeCode Available	5
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder	Jun 11, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	5
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions	Apr 25, 2024	Contrastive LearningFederated Learning	CodeCode Available	5
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes	Apr 25, 2022	Contrastive Learningwhole slide images	CodeCode Available	5
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation	Mar 22, 2024	ClusteringContrastive Learning	CodeCode Available	5
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration	May 25, 2025	Contrastive LearningEdge-computing	CodeCode Available	5
Contrastive Learning enhanced Author-Style Headline Generation	Nov 7, 2022	ArticlesContrastive Learning	CodeCode Available	5
FedSC: Federated Learning with Semantic-Aware Collaboration	Jun 26, 2025	Contrastive LearningFederated Learning	CodeCode Available	5
Learning Label Hierarchy with Supervised Contrastive Learning	Jan 31, 2024	Contrastive Learningtext-classification	CodeCode Available	5
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identification	Nov 2, 2023	Contrastive LearningPerson Re-Identification	CodeCode Available	5

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All datasets imagenet-1k 10,000 People - Human Pose Recognition Data CIFAR-10 STL-10

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ResNet50	ImageNet Top-1 Accuracy	73.6	—	Unverified
2	ResNet50	ImageNet Top-1 Accuracy	73	—	Unverified
3	ResNet50	ImageNet Top-1 Accuracy	71.1	—	Unverified
4	ResNet50	ImageNet Top-1 Accuracy	69.3	—	Unverified
5	ResNet50 (v2)	ImageNet Top-1 Accuracy	67.6	—	Unverified
6	ResNet50 (v2)	ImageNet Top-1 Accuracy	63.8	—	Unverified
7	ResNet50	ImageNet Top-1 Accuracy	63.6	—	Unverified
8	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
9	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
10	ResNet50 (4×)	ImageNet Top-1 Accuracy	61.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1	0..5sec	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	84.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	85.55	—	Unverified