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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 2326–2350 of 6661 papers

Title	Date	Tasks	Status	Score
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID	Nov 7, 2022	ClusteringContrastive Learning	CodeCode Available	5
Contrastive Self-Supervised Learning for Wireless Power Control	Oct 22, 2020	Contrastive LearningSelf-Supervised Learning	CodeCode Available	5
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal	Jul 22, 2023	Atrial Fibrillation DetectionContrastive Learning	CodeCode Available	5
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning	Apr 1, 2022	Contrastive Learning	CodeCode Available	5
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning	Mar 2, 2021	BIG-bench Machine LearningContrastive Learning	CodeCode Available	5
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing	Apr 21, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	5
Manifold Contrastive Learning with Variational Lie Group Operators	Jun 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers	Jun 7, 2024	audio-visual learningContrastive Learning	CodeCode Available	5
Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic Segmentation	Sep 25, 2023	Contrastive LearningDomain Generalization	CodeCode Available	5
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction	May 31, 2025	Contrastive LearningEEG	CodeCode Available	5
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU	Mar 19, 2025	Contrastive LearningMachine Unlearning	CodeCode Available	5
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations	Mar 12, 2024	Contrastive Learning	CodeCode Available	5
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval	Mar 21, 2024	Contrastive LearningFact Verification	CodeCode Available	5
Contrastive Representation for Interactive Recommendation	Dec 24, 2024	Contrastive LearningDeep Reinforcement Learning	CodeCode Available	5
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning	Oct 4, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	5
Multi-task Pre-training Language Model for Semantic Network Completion	Jan 13, 2022	Contrastive LearningData Augmentation	CodeCode Available	5
LostPaw: Finding Lost Pets using a Contrastive Learning-based Transformer with Visual Input	Apr 28, 2023	Contrastive Learning	CodeCode Available	5
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision	Jul 11, 2022	Contrastive Learningobject-detection	CodeCode Available	5
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction	Dec 22, 2021	Contrastive LearningKeypoint Detection	CodeCode Available	5
Low-confidence Samples Matter for Domain Adaptation	Feb 6, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	5
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles	Oct 10, 2023	ArticlesClickbait Detection	CodeCode Available	5
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps	Jun 1, 2022	Contrastive LearningDimensionality Reduction	CodeCode Available	5
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation	Dec 3, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval	May 26, 2025	Contrastive LearningEntity Retrieval	CodeCode Available	5
Local Aggregation for Unsupervised Learning of Visual Embeddings	Mar 29, 2019	ClusteringContrastive Learning	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