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 1351–1375 of 6661 papers

Title	Date	Tasks	Status	Hype
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training	Jan 5, 2022	Contrastive LearningMedical Image Analysis	CodeCode Available	1
DiffSim: Taming Diffusion Models for Evaluating Visual Similarity	Dec 19, 2024	Contrastive LearningDenoising	CodeCode Available	1
Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction	Jan 1, 2024	3D Human Pose Estimation3D Multi-Person Mesh Recovery	CodeCode Available	1
Contrastive Learning of Generalized Game Representations	Jun 18, 2021	Contrastive LearningImage Classification	CodeCode Available	1
Integrating multi-label contrastive learning with dual adversarial graph neural networks for cross-modal retrieval	Jul 5, 2022	Contrastive LearningCross-Modal Retrieval	CodeCode Available	1
Contrastive learning of global and local features for medical image segmentation with limited annotations	Jun 18, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive Learning of Global-Local Video Representations	Apr 7, 2021	ClassificationContrastive Learning	CodeCode Available	1
Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation	Apr 22, 2025	Contrastive LearningData Augmentation	CodeCode Available	1
Direct Preference-based Policy Optimization without Reward Modeling	Jan 30, 2023	Contrastive LearningOffline RL	CodeCode Available	1
Contrastive Learning of Medical Visual Representations from Paired Images and Text	Oct 2, 2020	Contrastive LearningDescriptive	CodeCode Available	1
Do Generated Data Always Help Contrastive Learning?	Mar 19, 2024	Contrastive LearningData Augmentation	CodeCode Available	1
Inter-Instance Similarity Modeling for Contrastive Learning	Jun 21, 2023	Contrastive LearningInstance Segmentation	CodeCode Available	1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought	Sep 20, 2023	Contrastive LearningDenoising	CodeCode Available	1
Network Comparison with Interpretable Contrastive Network Representation Learning	May 25, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation	Dec 14, 2020	Conditional Text GenerationContrastive Learning	CodeCode Available	1
DetCo: Unsupervised Contrastive Learning for Object Detection	Feb 9, 2021	Contrastive Learningimage-classification	CodeCode Available	1
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning	Apr 18, 2022	Contrastive Learning	CodeCode Available	1
Contrastive Learning of Sentence Embeddings from Scratch	May 24, 2023	Contrastive LearningNatural Language Inference	CodeCode Available	1
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models	Jul 5, 2024	Answer GenerationContrastive Learning	CodeCode Available	1
Contrastive Pretraining for Echocardiography Segmentation with Limited Data	Jan 16, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
Jigsaw Clustering for Unsupervised Visual Representation Learning	Apr 1, 2021	ClusteringContrastive Learning	CodeCode Available	1
JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection	May 1, 2022	Contrastive LearningStance Detection	CodeCode Available	1
Joint Contrastive Learning with Infinite Possibilities	Sep 30, 2020	Contrastive Learning	CodeCode Available	1
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification	Dec 16, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Compressive Visual Representations	Sep 27, 2021	Contrastive LearningImage Classification	CodeCode Available	1

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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