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 6026–6050 of 6661 papers

Title	Date	Tasks	Status	Hype
Poisoning and Backdooring Contrastive Learning	Jun 17, 2021	Contrastive Learning	CodeCode Available	1
Contrastive Learning of Natural Language and Code Representations for Semantic Code Search	Jun 16, 2021	Code SearchContrastive Learning	—Unverified	0
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification	Jun 16, 2021	Alzheimer's DetectionContrastive Learning	CodeCode Available	1
C^3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues	Jun 16, 2021	Contrastive Learningcounterfactual	—Unverified	0
Positional Contrastive Learning for Volumetric Medical Image Segmentation	Jun 16, 2021	Contrastive Learningimage-classification	CodeCode Available	1
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows	Jun 16, 2021	Contrastive LearningRepresentation Learning	—Unverified	0
Bilateral Personalized Dialogue Generation with Contrastive Learning	Jun 15, 2021	Contrastive LearningDialogue Generation	CodeCode Available	0
Evaluating Modules in Graph Contrastive Learning	Jun 15, 2021	Contrastive LearningGraph Classification	CodeCode Available	1
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification	Jun 15, 2021	ClusteringContrastive Learning	CodeCode Available	0
Biomedical Entity Linking with Contrastive Context Matching	Jun 14, 2021	ArticlesContrastive Learning	CodeCode Available	1
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions	Jun 14, 2021	Contrastive LearningGraph Learning	CodeCode Available	0
Learning Task-Relevant Representations with Selective Contrast for Reinforcement Learning in a Real-World Application	Jun 13, 2021	Contrastive Learningreinforcement-learning	—Unverified	0
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning	Jun 13, 2021	Contrastive LearningRepresentation Learning	—Unverified	0
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation	Jun 12, 2021	Contrastive LearningImage Segmentation	—Unverified	0
Hybrid Generative-Contrastive Representation Learning	Jun 11, 2021	Contrastive LearningDecoder	CodeCode Available	1
A comprehensive solution to retrieval-based chatbot construction	Jun 11, 2021	Binary ClassificationChatbot	—Unverified	0
Towards User-Driven Neural Machine Translation	Jun 11, 2021	Contrastive LearningMachine Translation	CodeCode Available	0
Graph Contrastive Learning Automated	Jun 10, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation	Jun 10, 2021	ClusteringContrastive Learning	CodeCode Available	0
Adversarial Graph Augmentation to Improve Graph Contrastive Learning	Jun 10, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning	Jun 10, 2021	3D Hand Pose EstimationContrastive Learning	CodeCode Available	1
Fairness-Aware Node Representation Learning	Jun 9, 2021	Contrastive LearningFairness	—Unverified	0
CLCC: Contrastive Learning for Color Constancy	Jun 9, 2021	Color ConstancyContrastive Learning	CodeCode Available	1
Pretrained Encoders are All You Need	Jun 9, 2021	AllContrastive Learning	CodeCode Available	1
Neighborhood Contrastive Learning Applied to Online Patient Monitoring	Jun 9, 2021	BIG-bench Machine LearningContrastive 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