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 901–925 of 6661 papers

Title	Date	Tasks	Status	Hype
User Retention-oriented Recommendation with Decision Transformer	Mar 11, 2023	Contrastive Learningcounterfactual	CodeCode Available	1
Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs	Mar 10, 2023	Contrastive LearningImage-to-Image Translation	CodeCode Available	1
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection	Mar 10, 2023	Contrastive LearningKnowledge Distillation	CodeCode Available	1
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning	Mar 9, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation	Mar 9, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Convolutional Cross-View Pose Estimation	Mar 9, 2023	Contrastive LearningDecoder	CodeCode Available	1
A Message Passing Perspective on Learning Dynamics of Contrastive Learning	Mar 8, 2023	Contrastive LearningGraph Attention	CodeCode Available	1
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning	Mar 6, 2023	Backdoor AttackContrastive Learning	CodeCode Available	1
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations	Mar 6, 2023	Contrastive LearningObject Recognition	CodeCode Available	1
CoRTX: Contrastive Framework for Real-time Explanation	Mar 5, 2023	Contrastive Learning	CodeCode Available	1
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning	Mar 2, 2023	Contrastive LearningCross-Domain Few-Shot	CodeCode Available	1
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning	Mar 2, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Heterogeneous Graph Contrastive Learning for Recommendation	Mar 2, 2023	Contrastive LearningRecommendation Systems	CodeCode Available	1
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection	Feb 28, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
Contrastive Video Question Answering via Video Graph Transformer	Feb 27, 2023	Contrastive LearningQuestion Answering	CodeCode Available	1
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations	Feb 27, 2023	Contrastive LearningFew-Shot Learning	CodeCode Available	1
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction	Feb 25, 2023	Contrastive LearningPrediction	CodeCode Available	1
Cross-modal Contrastive Learning for Multimodal Fake News Detection	Feb 25, 2023	Contrastive LearningFake News Detection	CodeCode Available	1
Learning Visual Representations via Language-Guided Sampling	Feb 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	1
Test-Time Distribution Normalization for Contrastively Learned Vision-language Models	Feb 22, 2023	Contrastive Learning	CodeCode Available	1
Cross-Modal Retrieval with Partially Mismatched Pairs	Feb 22, 2023	Contrastive LearningCross-Modal Retrieval	CodeCode Available	1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least	Feb 18, 2023	Contrastive LearningOpen-Ended Question Answering	CodeCode Available	1
Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification	Feb 17, 2023	ClassificationContrastive Learning	CodeCode Available	1
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences	Feb 17, 2023	Action RecognitionContrastive Learning	CodeCode Available	1
CluCDD:Contrastive Dialogue Disentanglement via Clustering	Feb 16, 2023	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