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 1151–1175 of 6661 papers

Title	Date	Tasks	Status	Hype
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation	Aug 18, 2022	Contrastive LearningSegmentation	CodeCode Available	1
Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations	Aug 18, 2022	Contrastive Learning	CodeCode Available	1
Modeling Two-Way Selection Preference for Person-Job Fit	Aug 18, 2022	Contrastive LearningGraph Representation Learning	CodeCode Available	1
Mere Contrastive Learning for Cross-Domain Sentiment Analysis	Aug 18, 2022	Contrastive LearningSentence	CodeCode Available	1
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation	Aug 17, 2022	Contrastive LearningRecommendation Systems	CodeCode Available	1
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection	Aug 16, 2022	Contrastive LearningObject	CodeCode Available	1
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion	Aug 16, 2022	Contrastive LearningKnowledge Graph Completion	CodeCode Available	1
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning	Aug 15, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1
Multi-modal Siamese Network for Entity Alignment	Aug 14, 2022	AttributeContrastive Learning	CodeCode Available	1
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation	Aug 12, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence	Aug 12, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation	Aug 8, 2022	Contrastive LearningSequential Recommendation	CodeCode Available	1
OpenCon: Open-world Contrastive Learning	Aug 4, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
XCon: Learning with Experts for Fine-grained Category Discovery	Aug 3, 2022	ClusteringContrastive Learning	CodeCode Available	1
COCOA: Cross Modality Contrastive Learning for Sensor Data	Jul 31, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning	Jul 29, 2022	Contrastive LearningDeep Reinforcement Learning	CodeCode Available	1
Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia	Jul 29, 2022	Contrastive Learning	CodeCode Available	1
Contrastive Masked Autoencoders are Stronger Vision Learners	Jul 27, 2022	Contrastive LearningDecoder	CodeCode Available	1
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining	Jul 26, 2022	Contrastive Learning	CodeCode Available	1
Semi-supervised 3D Object Detection with Proficient Teachers	Jul 26, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning	Jul 25, 2022	Contrastive LearningGraph Representation Learning	CodeCode Available	1
Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis	Jul 23, 2022	ClassificationContrastive Learning	CodeCode Available	1
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition	Jul 23, 2022	Contrastive Learningimage-classification	CodeCode Available	1
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness	Jul 22, 2022	Adversarial RobustnessContrastive Learning	CodeCode Available	1
Adaptive Soft Contrastive Learning	Jul 22, 2022	Contrastive LearningRepresentation Learning	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