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 1676–1700 of 6661 papers

Title	Date	Tasks	Status	Hype
Localizing Visual Sounds the Hard Way	Apr 6, 2021	Contrastive Learning	CodeCode Available	1
Graph Contrastive Clustering	Apr 3, 2021	ClusteringContrastive Learning	CodeCode Available	1
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions	Apr 2, 2021	Contrastive LearningImage Generation	CodeCode Available	1
Enriched Music Representations with Multiple Cross-modal Contrastive Learning	Apr 1, 2021	Contrastive LearningGenre classification	CodeCode Available	1
Jigsaw Clustering for Unsupervised Visual Representation Learning	Apr 1, 2021	ClusteringContrastive Learning	CodeCode Available	1
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation	Mar 31, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	1
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective	Mar 31, 2021	Contrastive LearningObject	CodeCode Available	1
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning	Mar 30, 2021	Action LocalizationCoLA	CodeCode Available	1
Model-Contrastive Federated Learning	Mar 30, 2021	Contrastive LearningFederated Learning	CodeCode Available	1
Denoise and Contrast for Category Agnostic Shape Completion	Mar 30, 2021	Contrastive LearningDenoising	CodeCode Available	1
Progressive Domain Expansion Network for Single Domain Generalization	Mar 30, 2021	Contrastive LearningDomain Generalization	CodeCode Available	1
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification	Mar 30, 2021	Contrastive LearningPerson Re-Identification	CodeCode Available	1
Self-supervised Graph Neural Networks without explicit negative sampling	Mar 27, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Rethinking Self-Supervised Learning: Small is Beautiful	Mar 25, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
A Broad Study on the Transferability of Visual Representations with Contrastive Learning	Mar 24, 2021	Contrastive LearningLinear evaluation	CodeCode Available	1
Supporting Clustering with Contrastive Learning	Mar 24, 2021	ClusteringContrastive Learning	CodeCode Available	1
VLGrammar: Grounded Grammar Induction of Vision and Language	Mar 24, 2021	ClusteringContrastive Learning	CodeCode Available	1
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction	Mar 22, 2021	ClusteringContrastive Learning	CodeCode Available	1
Self-Supervised Classification Network	Mar 19, 2021	ClassificationClustering	CodeCode Available	1
Training GANs with Stronger Augmentations via Contrastive Discriminator	Mar 17, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Single Underwater Image Restoration by Contrastive Learning	Mar 17, 2021	Contrastive LearningImage Restoration	CodeCode Available	1
SPICE: Semantic Pseudo-labeling for Image Clustering	Mar 17, 2021	ClusteringContrastive Learning	CodeCode Available	1
Contrastive Learning of Musical Representations	Mar 17, 2021	Contrastive LearningLinear evaluation	CodeCode Available	1
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model	Mar 15, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation	Mar 15, 2021	Cardiac SegmentationContrastive Learning	CodeCode Available	1

Show:10 25 50

← PrevPage 68 of 267Next →

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