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 326–350 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
3D Infomax improves GNNs for Molecular Property Prediction	Oct 8, 2021	Contrastive LearningGraph Learning	CodeCode Available	1	5
Contrastive Embeddings for Neural Architectures	Feb 8, 2021	Contrastive LearningNeural Architecture Search	CodeCode Available	1	5
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition	Nov 23, 2022	Contrastive LearningDiversity	CodeCode Available	1	5
Contrastive Learning for Cold-Start Recommendation	Jul 12, 2021	Contrastive LearningRecommendation Systems	CodeCode Available	1	5
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	Jun 13, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Contrastive Mean Teacher for Domain Adaptive Object Detectors	May 4, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning	Sep 25, 2024	Contrastive LearningGraph Learning	CodeCode Available	1	5
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition	Apr 11, 2022	Contrastive LearningLow Resource Named Entity Recognition	CodeCode Available	1	5
Contrastive Code Representation Learning	Jul 9, 2020	Clone DetectionContrastive Learning	CodeCode Available	1	5
Contrastive Bayesian Analysis for Deep Metric Learning	Oct 10, 2022	Contrastive LearningMetric Learning	CodeCode Available	1	5
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning	Jul 27, 2020	3D Human Pose Estimation3D Shape Reconstruction	CodeCode Available	1	5
Contrastive Clustering	Sep 21, 2020	ClusteringContrastive Learning	CodeCode Available	1	5
Contrastive Collaborative Filtering for Cold-Start Item Recommendation	Feb 4, 2023	Collaborative FilteringContrastive Learning	CodeCode Available	1	5
Adversarial Graph Augmentation to Improve Graph Contrastive Learning	Jun 10, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1	5
3D Human Pose, Shape and Texture from Low-Resolution Images and Videos	Mar 11, 2021	3D human pose and shape estimationContrastive Learning	CodeCode Available	1	5
Big Self-Supervised Models Advance Medical Image Classification	Jan 13, 2021	ClassificationContrastive Learning	CodeCode Available	1	5
A Closer Look at Self-Supervised Lightweight Vision Transformers	May 28, 2022	Contrastive Learningimage-classification	CodeCode Available	1	5
Adversarial Examples Are Not Real Features	Oct 29, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1	5
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery	Apr 13, 2024	ClusteringContrastive Learning	CodeCode Available	1	5
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation	Mar 7, 2024	Continual LearningContrastive Learning	CodeCode Available	1	5
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series	Oct 21, 2023	Contrastive LearningEEG	CodeCode Available	1	5
Adversarial Contrastive Learning via Asymmetric InfoNCE	Jul 18, 2022	Adversarial RobustnessContrastive Learning	CodeCode Available	1	5
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks	Oct 11, 2022	Contrastive LearningFake News Detection	CodeCode Available	1	5
3D Human Action Representation Learning via Cross-View Consistency Pursuit	Apr 29, 2021	Action RecognitionContrastive Learning	CodeCode Available	1	5
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding	Jun 15, 2023	Contrastive Learningimage-classification	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