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 2376–2400 of 6661 papers

Title	Date	Tasks	Status	Score
Low-confidence Samples Matter for Domain Adaptation	Feb 6, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	5
Multi-task Pre-training Language Model for Semantic Network Completion	Jan 13, 2022	Contrastive LearningData Augmentation	CodeCode Available	5
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learning	Apr 20, 2023	Contrastive Learning	CodeCode Available	5
Model Editing for LLMs4Code: How Far are We?	Nov 11, 2024	16kCode Generation	CodeCode Available	5
Local Aggregation for Unsupervised Learning of Visual Embeddings	Mar 29, 2019	ClusteringContrastive Learning	CodeCode Available	5
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation	Dec 3, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval	May 26, 2025	Contrastive LearningEntity Retrieval	CodeCode Available	5
Contrastive Learning with Consistent Representations	Feb 3, 2023	Contrastive LearningData Augmentation	CodeCode Available	5
Adversarial Bootstrapped Question Representation Learning for Knowledge Tracing	Oct 29, 2023	Contrastive LearningKnowledge Tracing	CodeCode Available	5
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training	May 18, 2025	Contrastive LearningIn-Context Learning	CodeCode Available	5
Link Prediction with Non-Contrastive Learning	Nov 25, 2022	Contrastive LearningLink Prediction	CodeCode Available	5
Lightweight Cross-Lingual Sentence Representation Learning	May 28, 2021	Contrastive LearningDocument Classification	CodeCode Available	5
Lexical Knowledge Internalization for Neural Dialog Generation	May 4, 2022	Contrastive Learning	CodeCode Available	5
Leveraging Graph Structures to Detect Hallucinations in Large Language Models	Jul 5, 2024	Contrastive LearningDecision Making	CodeCode Available	5
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss	Jun 8, 2024	Contrastive LearningSemantic Textual Similarity	CodeCode Available	5
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression	Dec 16, 2024	ClassificationContrastive Learning	CodeCode Available	5
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning	Nov 21, 2023	Contrastive LearningImage Segmentation	CodeCode Available	5
Line Graph Contrastive Learning for Link Prediction	Oct 25, 2022	Contrastive LearningLink Prediction	CodeCode Available	5
Breccia and basalt classification of thin sections of Apollo rocks with deep learning	Oct 28, 2024	Contrastive LearningTransfer Learning	CodeCode Available	5
Less is More: Multimodal Region Representation via Pairwise Inter-view Learning	May 15, 2025	Contrastive LearningRepresentation Learning	CodeCode Available	5
Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance	Oct 18, 2024	ClassificationContrastive Learning	CodeCode Available	5
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samples	Aug 23, 2024	Contrastive LearningEmotion Recognition	CodeCode Available	5
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis	Jun 27, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	5
Length is a Curse and a Blessing for Document-level Semantics	Oct 24, 2023	Contrastive LearningInformation Retrieval	CodeCode Available	5
An Investigation of Representation and Allocation Harms in Contrastive Learning	Oct 2, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	5

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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