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 1501–1510 of 6661 papers

Title	Date	Tasks	Status	Hype
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning	Jul 20, 2024	Contrastive LearningDiagnostic	CodeCode Available	1
Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques	Jul 19, 2024	Contrastive LearningMelanoma Diagnosis	—Unverified	0
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading	Jul 19, 2024	Contrastive LearningDiagnostic	CodeCode Available	0
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective	Jul 19, 2024	Action ClassificationContrastive Learning	—Unverified	0
Improving classification of road surface conditions via road area extraction and contrastive learning	Jul 19, 2024	ClassificationContrastive Learning	—Unverified	0
Semi-supervised reference-based sketch extraction using a contrastive learning framework	Jul 19, 2024	Contrastive Learning	CodeCode Available	1
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis	Jul 19, 2024	Contrastive LearningDiversity	—Unverified	0
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering	Jul 19, 2024	Collaborative FilteringContrastive Learning	CodeCode Available	0
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation	Jul 19, 2024	AnatomyContrastive Learning	—Unverified	0
Semi-Supervised Contrastive Learning of Musical Representations	Jul 18, 2024	Contrastive LearningInformation Retrieval	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