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 3191–3200 of 6661 papers

Title	Date	Tasks	Status	Hype
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images	Jul 21, 2023	Contrastive LearningData-free Knowledge Distillation	—Unverified	0
Learning Discriminative Visual-Text Representation for Polyp Re-Identification	Jul 20, 2023	ClusteringContrastive Learning	CodeCode Available	0
Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning	Jul 20, 2023	Contrastive LearningRetrieval	—Unverified	0
Extreme Multi-Label Skill Extraction Training using Large Language Models	Jul 20, 2023	Contrastive LearningExtreme Multi-Label Classification	—Unverified	0
Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations	Jul 20, 2023	Contrastive LearningData Augmentation	—Unverified	0
Density-invariant Features for Distant Point Cloud Registration	Jul 19, 2023	Autonomous VehiclesContrastive Learning	CodeCode Available	1
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning	Jul 19, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification	Jul 19, 2023	Contrastive Learningimage-classification	CodeCode Available	1
Multi-Grained Multimodal Interaction Network for Entity Linking	Jul 19, 2023	Contrastive LearningDescriptive	CodeCode Available	1
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation	Jul 19, 2023	Contrastive LearningSemantic Segmentation	—Unverified	0

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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