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 1981–1990 of 6661 papers

Title	Date	Tasks	Status	Score
MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning	Jun 25, 2024	Code GenerationContrastive Learning	CodeCode Available	5
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning	Oct 1, 2022	Contrastive LearningCross-Domain Text Classification	CodeCode Available	5
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction	Oct 5, 2021	Contrastive LearningCrime Prediction	CodeCode Available	5
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning	Jan 30, 2024	Contrastive LearningEthics	CodeCode Available	5
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning	Feb 28, 2025	Contrastive Learning	CodeCode Available	5
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning	Sep 2, 2024	Contrastive Learninggraph construction	CodeCode Available	5
MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints	Jan 30, 2024	Contrastive LearningMolecular Property Prediction	CodeCode Available	5
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis	Aug 31, 2023	Contrastive LearningKnowledge Distillation	CodeCode Available	5
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation	Oct 10, 2024	cognitive diagnosisContrastive Learning	CodeCode Available	5
A Language-based solution to enable Metaverse Retrieval	Dec 22, 2023	Contrastive LearningRetrieval	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