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 5976–6000 of 6661 papers

Title	Date	Tasks	Status	Hype
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation	Jul 5, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	1
Bag of Instances Aggregation Boosts Self-supervised Distillation	Jul 4, 2021	Contrastive LearningLinear evaluation	CodeCode Available	1
Supervised Contrastive Learning for Accented Speech Recognition	Jul 2, 2021	Accented Speech RecognitionContrastive Learning	—Unverified	0
Inter-intra Variant Dual Representations forSelf-supervised Video Recognition	Jul 2, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	0
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE	Jul 2, 2021	Contrastive Learning	CodeCode Available	1
Blind Image Super-Resolution via Contrastive Representation Learning	Jul 1, 2021	Contrastive LearningImage Super-Resolution	—Unverified	0
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding	Jul 1, 2021	Contrastive LearningNatural Language Understanding	CodeCode Available	1
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation	Jun 30, 2021	Contrastive LearningDomain Adaptation	—Unverified	0
Exploring Localization for Self-supervised Fine-grained Contrastive Learning	Jun 30, 2021	Contrastive LearningFine-Grained Image Classification	—Unverified	0
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization	Jun 30, 2021	Contrastive LearningDomain Adaptation	—Unverified	0
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data	Jun 29, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
Interactive Dimensionality Reduction for Comparative Analysis	Jun 29, 2021	Contrastive LearningDimensionality Reduction	CodeCode Available	0
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning	Jun 29, 2021	Contrastive LearningFew-Shot Learning	CodeCode Available	0
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption	Jun 29, 2021	Contrastive LearningRepresentation Learning	—Unverified	0
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network	Jun 29, 2021	Contrastive Learning	CodeCode Available	1
Co^2L: Contrastive Continual Learning	Jun 28, 2021	Continual LearningContrastive Learning	CodeCode Available	1
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning	Jun 28, 2021	Contrastive LearningRepresentation Learning	—Unverified	0
Time-Series Representation Learning via Temporal and Contextual Contrasting	Jun 26, 2021	Automatic Sleep Stage ClassificationContrastive Learning	CodeCode Available	1
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning	Jun 26, 2021	Contrastive LearningDiversity	CodeCode Available	1
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy	Jun 25, 2021	Contrastive LearningDiabetic Retinopathy Grading	—Unverified	0
Crossmodal clustered contrastive learning: Grounding of spoken language to gesture	Jun 23, 2021	Contrastive Learning	CodeCode Available	0
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach	Jun 22, 2021	Boundary DetectionContrastive Learning	CodeCode Available	1
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning	Jun 21, 2021	Action ClassificationAction Recognition	CodeCode Available	1
Can contrastive learning avoid shortcut solutions?	Jun 21, 2021	Contrastive Learning	CodeCode Available	1
Multi-level Feature Learning for Contrastive Multi-view Clustering	Jun 21, 2021	ClusteringContrastive 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