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 6351–6375 of 6661 papers

Title	Date	Tasks	Status	Hype
Spatial Contrastive Learning for Few-Shot Classification	Dec 26, 2020	ClassificationContrastive Learning	CodeCode Available	1
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning	Dec 25, 2020	AllContrastive Learning	—Unverified	0
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease	Dec 25, 2020	Contrastive LearningDecoder	CodeCode Available	0
Self-Supervised Representation Learning for Astronomical Images	Dec 24, 2020	AstronomyContrastive Learning	CodeCode Available	1
Adversarial Momentum-Contrastive Pre-Training	Dec 24, 2020	Contrastive LearningData Augmentation	CodeCode Available	0
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding	Dec 24, 2020	Contrastive LearningRepresentation Learning	—Unverified	0
Motif-Driven Contrastive Learning of Graph Representations	Dec 23, 2020	ClusteringContrastive Learning	—Unverified	0
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning	Dec 20, 2020	Contrastive LearningFew-Shot Learning	—Unverified	0
Sequence-to-Sequence Contrastive Learning for Text Recognition	Dec 20, 2020	Contrastive LearningDecoder	CodeCode Available	1
Camera-aware Proxies for Unsupervised Person Re-Identification	Dec 19, 2020	ClusteringContrastive Learning	CodeCode Available	1
Addressing Feature Suppression in Unsupervised Visual Representations	Dec 17, 2020	AttributeContrastive Learning	—Unverified	0
ISD: Self-Supervised Learning by Iterative Similarity Distillation	Dec 16, 2020	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification	Dec 16, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Wasserstein Contrastive Representation Distillation	Dec 15, 2020	Contrastive LearningKnowledge Distillation	—Unverified	0
Understanding the Behaviour of Contrastive Loss	Dec 15, 2020	Contrastive Learning	—Unverified	0
CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking	Dec 14, 2020	Active LearningContrastive Learning	CodeCode Available	1
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation	Dec 14, 2020	Conditional Text GenerationContrastive Learning	CodeCode Available	1
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification	Dec 14, 2020	Contrastive LearningGraph Learning	—Unverified	0
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding	Dec 14, 2020	Contrastive LearningKnowledge Distillation	—Unverified	0
Contrastive Learning for Label-Efficient Semantic Segmentation	Dec 13, 2020	Contrastive LearningSegmentation	—Unverified	0
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images	Dec 13, 2020	Contrastive LearningObject Localization	CodeCode Available	1
Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning	Dec 13, 2020	ClusteringContrastive Learning	CodeCode Available	1
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering	Dec 9, 2020	Contrastive LearningObject	—Unverified	0
Multi-Objective Interpolation Training for Robustness to Label Noise	Dec 8, 2020	Contrastive LearningImage Classification	CodeCode Available	1
Fine-grained Angular Contrastive Learning with Coarse Labels	Dec 7, 2020	Contrastive LearningFew-Shot 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