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 676–700 of 6661 papers

Title	Date	Tasks	Status	Hype
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning	May 8, 2023	AttributeContrastive Learning	CodeCode Available	1
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion	Nov 13, 2023	Contrastive LearningEEG	CodeCode Available	1
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations	May 1, 2023	Contrastive Learningimage-classification	CodeCode Available	1
Contrastive Learning for Cross-Domain Open World Recognition	Mar 17, 2022	Contrastive Learning	CodeCode Available	1
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning	Apr 25, 2023	Contrastive LearningFederated Learning	CodeCode Available	1
CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning	Feb 2, 2025	Audio ClassificationClustering	CodeCode Available	1
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation	Aug 8, 2023	Contrastive LearningSentence	CodeCode Available	1
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation	May 20, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models	Jul 5, 2024	Answer GenerationContrastive Learning	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
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation	Dec 17, 2021	Contrastive LearningKnowledge Distillation	CodeCode Available	1
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap	Mar 25, 2022	ARCContrastive Learning	CodeCode Available	1
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities	May 17, 2025	Brain Tumor SegmentationContrastive Learning	CodeCode Available	1
Debiased Contrastive Learning	Jul 1, 2020	Contrastive LearningGeneralization Bounds	CodeCode Available	1
Debiased Contrastive Learning for Sequential Recommendation	Mar 21, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems	Dec 25, 2023	Autonomous DrivingContrastive Learning	CodeCode Available	1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations	Jun 5, 2020	ClusteringContrastive Learning	CodeCode Available	1
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling	Oct 7, 2021	Contrastive Learningslot-filling	CodeCode Available	1
Behavior Contrastive Learning for Unsupervised Skill Discovery	May 8, 2023	continuous-controlContinuous Control	CodeCode Available	1
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views	Oct 12, 2024	ClusteringContrastive Learning	CodeCode Available	1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning	Aug 14, 2023	Contrastive LearningGenerative Adversarial Network	CodeCode Available	1
Contrastive Learning for Cold-Start Recommendation	Jul 12, 2021	Contrastive LearningRecommendation Systems	CodeCode Available	1
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses	May 28, 2024	Contrastive LearningRepresentation Learning	CodeCode Available	1
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network	Sep 21, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings	Jan 28, 2024	Contrastive LearningDescriptive	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