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 1776–1800 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
Deep Graph Contrastive Representation Learning	Jun 7, 2020	AttributeContrastive Learning	CodeCode Available	1	5
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference	May 1, 2022	Contrastive LearningDiversity	CodeCode Available	1	5
Learning From Noisy Data With Robust Representation Learning	Jan 1, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding	Jul 1, 2021	Contrastive LearningNatural Language Understanding	CodeCode Available	1	5
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking	Oct 19, 2022	Chinese Spell CheckingContrastive Learning	CodeCode Available	1	5
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint	Nov 21, 2022	Contrastive Learning	CodeCode Available	1	5
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series	Dec 2, 2022	ClusteringContrastive Learning	CodeCode Available	1	5
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures	Jul 27, 2023	Automatic Speech RecognitionContrastive Learning	CodeCode Available	1	5
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling	Feb 4, 2024	Contrastive LearningData Augmentation	CodeCode Available	1	5
Learning Markov State Abstractions for Deep Reinforcement Learning	Jun 8, 2021	continuous-controlContinuous Control	CodeCode Available	1	5
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection	Mar 11, 2022	Contrastive LearningCo-Salient Object Detection	CodeCode Available	1	5
Deep Multiview Clustering by Contrasting Cluster Assignments	Apr 21, 2023	ClusteringContrastive Learning	CodeCode Available	1	5
Deep Multi-View Subspace Clustering with Anchor Graph	May 11, 2023	ClusteringContrastive Learning	CodeCode Available	1	5
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP	Jan 12, 2023	3D Semantic SegmentationContrastive Learning	CodeCode Available	1	5
Learning Non-target Knowledge for Few-shot Semantic Segmentation	May 10, 2022	Contrastive LearningFew-Shot Semantic Segmentation	CodeCode Available	1	5
Reinforcement Learning Friendly Vision-Language Model for Minecraft	Mar 19, 2023	Contrastive LearningLanguage Modeling	CodeCode Available	1	5
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery	May 10, 2023	Contrastive Learningimage-classification	CodeCode Available	1	5
A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition	Jul 6, 2021	Contrastive LearningImage Retrieval	CodeCode Available	1	5
Deep Robust Clustering by Contrastive Learning	Aug 7, 2020	ClusteringContrastive Learning	CodeCode Available	1	5
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation	Jan 24, 2025	Contrastive LearningMixture-of-Experts	CodeCode Available	1	5
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making	Jun 24, 2024	Contrastive LearningDecision Making	CodeCode Available	1	5
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering	May 5, 2021	ClusteringContrastive Learning	CodeCode Available	1	5
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution	Oct 6, 2023	Blind Super-ResolutionContrastive Learning	CodeCode Available	1	5
TS2Vec: Towards Universal Representation of Time Series	Jun 19, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Disentangled Causal Embedding With Contrastive Learning For Recommender System	Feb 7, 2023	Contrastive LearningRecommendation Systems	CodeCode Available	1	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