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 6576–6600 of 6661 papers

Title	Date	Tasks	Status	Hype
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images	Jun 16, 2020	Contrastive LearningCOVID-19 Diagnosis	—Unverified	0
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction	Jun 15, 2020	ClusteringContrastive Learning	CodeCode Available	1
Improved Conditional Flow Models for Molecule to Image Synthesis	Jun 15, 2020	Contrastive LearningImage Generation	CodeCode Available	0
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels	Jun 14, 2020	Contrastive LearningLearning with noisy labels	—Unverified	0
Adversarial Self-Supervised Contrastive Learning	Jun 13, 2020	Adversarial AttackContrastive Learning	CodeCode Available	1
Knowledge Distillation Meets Self-Supervision	Jun 12, 2020	Contrastive LearningKnowledge Distillation	CodeCode Available	1
Pairwise Supervision Can Provably Elicit a Decision Boundary	Jun 11, 2020	Binary ClassificationClassification	—Unverified	0
Quasi-Dense Similarity Learning for Multiple Object Tracking	Jun 11, 2020	Contrastive LearningMetric Learning	CodeCode Available	1
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors	Jun 10, 2020	AttributeContrastive Learning	CodeCode Available	1
Multi-view Contrastive Learning for Online Knowledge Distillation	Jun 7, 2020	ClassificationContrastive Learning	CodeCode Available	1
Deep Graph Contrastive Representation Learning	Jun 7, 2020	AttributeContrastive Learning	CodeCode Available	1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations	Jun 5, 2020	ClusteringContrastive Learning	CodeCode Available	1
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning	Jun 4, 2020	ClusteringContrastive Learning	—Unverified	0
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning	Jun 4, 2020	BIG-bench Machine LearningContrastive Learning	—Unverified	0
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID	Jun 4, 2020	ClusteringContrastive Learning	CodeCode Available	1
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients	May 27, 2020	Contrastive LearningLinear evaluation	CodeCode Available	1
On Mutual Information in Contrastive Learning for Visual Representations	May 27, 2020	Contrastive LearningGeneral Classification	—Unverified	0
Network Comparison with Interpretable Contrastive Network Representation Learning	May 25, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems	May 20, 2020	Contrastive LearningFairness	—Unverified	0
What Makes for Good Views for Contrastive Learning?	May 20, 2020	Contrastive LearningData Augmentation	—Unverified	0
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere	May 20, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language	May 15, 2020	AttributeContrastive Learning	CodeCode Available	1
On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors	May 15, 2020	Contrastive LearningSpeaker Verification	—Unverified	0
Prototypical Contrastive Learning of Unsupervised Representations	May 11, 2020	ClusteringContrastive Learning	CodeCode Available	1
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions	May 4, 2020	Contrastive LearningMulti-Task 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