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 1026–1050 of 6661 papers

Title	Date	Tasks	Status	Hype
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment	Jun 7, 2024	Contrastive LearningZero-Shot Learning	CodeCode Available	1
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder	May 31, 2025	Contrastive LearningMeta-Learning	CodeCode Available	1
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation	Mar 22, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation	Jun 1, 2022	Contrastive LearningGraph Learning	CodeCode Available	1
Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration	Nov 2, 2023	Contrastive LearningPoint Cloud Registration	CodeCode Available	1
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning	Jun 9, 2022	Contrastive LearningGraph Representation Learning	CodeCode Available	1
Bag of Instances Aggregation Boosts Self-supervised Distillation	Jul 4, 2021	Contrastive LearningLinear evaluation	CodeCode Available	1
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label	Jul 1, 2022	Adversarial AttackBackdoor Attack	CodeCode Available	1
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning	Nov 20, 2023	Backdoor AttackContrastive Learning	CodeCode Available	1
CoSQA: 20,000+ Web Queries for Code Search and Question Answering	May 27, 2021	Code SearchContrastive Learning	CodeCode Available	1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought	Sep 20, 2023	Contrastive LearningDenoising	CodeCode Available	1
Correspondence Matters for Video Referring Expression Comprehension	Jul 21, 2022	Contrastive LearningReferring Expression	CodeCode Available	1
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations	Mar 3, 2022	AttributeContrastive Learning	CodeCode Available	1
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning	Nov 15, 2022	Backdoor AttackContrastive Learning	CodeCode Available	1
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images	Mar 5, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction	Oct 30, 2023	Click-Through Rate PredictionContrastive Learning	CodeCode Available	1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition	Oct 1, 2022	Contrastive Learningfew-shot-ner	CodeCode Available	1
CoRTX: Contrastive Framework for Real-time Explanation	Mar 5, 2023	Contrastive Learning	CodeCode Available	1
Contrastive Domain Adaptation for Time-Series via Temporal Mixup	Dec 3, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
Adaptive Graph Contrastive Learning for Recommendation	May 18, 2023	Collaborative FilteringContrastive Learning	CodeCode Available	1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation	Aug 27, 2022	Contrastive LearningRecommendation Systems	CodeCode Available	1
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning	Feb 19, 2024	Contrastive Learning	CodeCode Available	1
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion	Jul 3, 2024	Contrastive LearningKnowledge Graph Completion	CodeCode Available	1
CONVERT:Contrastive Graph Clustering with Reliable Augmentation	Aug 17, 2023	ClusteringContrastive Learning	CodeCode Available	1
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification	May 16, 2023	ClassificationContrastive 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