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 2551–2575 of 6661 papers

Title	Date	Tasks	Status	Score
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing	Jan 5, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications	Oct 30, 2024	AttributeContrastive Learning	CodeCode Available	5
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identification	Nov 2, 2023	Contrastive LearningPerson Re-Identification	CodeCode Available	5
Analyzing Data-Centric Properties for Graph Contrastive Learning	Aug 4, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	5
Contrastive Latent Variable Models for Neural Text Generation	Mar 5, 2023	Contrastive LearningText Generation	CodeCode Available	5
Learning Invariance from Generated Variance for Unsupervised Person Re-identification	Jan 2, 2023	Contrastive LearningData Augmentation	CodeCode Available	5
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs	Dec 6, 2023	Contrastive LearningRetrieval	CodeCode Available	5
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU	Mar 19, 2025	Contrastive LearningMachine Unlearning	CodeCode Available	5
Bilateral Personalized Dialogue Generation with Contrastive Learning	Jun 15, 2021	Contrastive LearningDialogue Generation	CodeCode Available	5
Learning Graph Augmentations to Learn Graph Representations	Jan 24, 2022	Contrastive Learning	CodeCode Available	5
Learning Oculomotor Behaviors from Scanpath	Aug 11, 2021	Contrastive Learning	CodeCode Available	5
Learning to Locate Visual Answer in Video Corpus Using Question	Oct 11, 2022	Contrastive LearningLanguage Modelling	CodeCode Available	5
Features Based Adaptive Augmentation for Graph Contrastive Learning	Jul 5, 2022	Contrastive LearningGraph Representation Learning	CodeCode Available	5
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models	Mar 5, 2024	Contrastive LearningFederated Learning	CodeCode Available	5
Learning Contrastive Feature Representations for Facial Action Unit Detection	Feb 9, 2024	Action Unit DetectionBinary Classification	CodeCode Available	5
Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing	Apr 1, 2021	Contrastive LearningDenoising	CodeCode Available	5
Contrastive Knowledge Graph Error Detection	Nov 18, 2022	Contrastive Learning	CodeCode Available	5
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation	Dec 8, 2021	Contrastive LearningNavigate	CodeCode Available	5
Contrastive Learning for Inference in Dialogue	Oct 19, 2023	Contrastive Learning	CodeCode Available	5
Feature-Level Debiased Natural Language Understanding	Dec 11, 2022	Contrastive LearningNatural Language Understanding	CodeCode Available	5
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning	Nov 29, 2021	Contrastive LearningNetwork Pruning	CodeCode Available	5
Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR Scans	Dec 1, 2021	4D Panoptic SegmentationAutonomous Navigation	CodeCode Available	5
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment	Oct 21, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	5
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation	Jun 27, 2023	Contrastive LearningImage Segmentation	CodeCode Available	5
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction	Jul 1, 2022	Contrastive LearningDomain Adaptation	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