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

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Showing 401–425 of 6661 papers

Title	Date	Tasks	Status	Hype
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics	Nov 26, 2021	Contrastive Learning	CodeCode Available	1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning	Dec 6, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
Temporal Context Aggregation for Video Retrieval with Contrastive Learning	Aug 4, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
A Self-supervised Method for Entity Alignment	Jun 17, 2021	Contrastive LearningEntity Alignment	CodeCode Available	1
Contrastive Learning of Generalized Game Representations	Jun 18, 2021	Contrastive LearningImage Classification	CodeCode Available	1
Contrastive learning of global and local features for medical image segmentation with limited annotations	Jun 18, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive Learning of Sentence Embeddings from Scratch	May 24, 2023	Contrastive LearningNatural Language Inference	CodeCode Available	1
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking	Aug 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition	Oct 8, 2024	Contrastive LearningDensity Estimation	CodeCode Available	1
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings	Mar 11, 2022	Contrastive LearningSemantic Textual Similarity	CodeCode Available	1
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation	Aug 8, 2022	Contrastive LearningSequential Recommendation	CodeCode Available	1
Contrastive Learning with Boosted Memorization	May 25, 2022	Contrastive LearningMemorization	CodeCode Available	1
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection	Sep 18, 2020	Contrastive LearningTopic Models	CodeCode Available	1
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition	May 20, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1
A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning	Mar 5, 2024	Contrastive LearningTransfer Learning	CodeCode Available	1
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration	May 5, 2022	Contrastive LearningDialogue Generation	CodeCode Available	1
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations	Oct 30, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing	Dec 18, 2023	Contrastive Learningde novo peptide sequencing	CodeCode Available	1
Contrastive Meta Learning with Behavior Multiplicity for Recommendation	Feb 17, 2022	Contrastive LearningMeta-Learning	CodeCode Available	1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation	Mar 9, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
A Simple Graph Contrastive Learning Framework for Short Text Classification	Jan 16, 2025	Contrastive LearningData Augmentation	CodeCode Available	1
A Simple Long-Tailed Recognition Baseline via Vision-Language Model	Nov 29, 2021	Contrastive LearningLanguage Modeling	CodeCode Available	1
Contrastive Neural Processes for Self-Supervised Learning	Oct 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction	May 19, 2022	Contrastive LearningRelation	CodeCode Available	1
Contrastive Code Representation Learning	Jul 9, 2020	Clone DetectionContrastive 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