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 4876–4900 of 6661 papers

Title	Date	Tasks	Status	Hype
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training	Jun 1, 2022	Contrastive LearningCross-Lingual Transfer	CodeCode Available	1
Towards Generalisable Audio Representations for Audio-Visual Navigation	Jun 1, 2022	Contrastive LearningData Augmentation	—Unverified	0
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks	Jun 1, 2022	ClusteringContrastive Learning	—Unverified	0
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views	Jun 1, 2022	Contrastive LearningData Augmentation	CodeCode Available	0
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation	Jun 1, 2022	Contrastive LearningGraph Learning	CodeCode Available	1
Generalized Supervised Contrastive Learning	Jun 1, 2022	Contrastive LearningKnowledge Distillation	—Unverified	0
Dog nose print matching with dual global descriptor based on Contrastive Learning	Jun 1, 2022	Contrastive Learning	CodeCode Available	1
3D Graph Contrastive Learning for Molecular Property Prediction	May 31, 2022	Contrastive LearningMolecular Property Prediction	—Unverified	0
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery	May 31, 2022	Contrastive LearningImage Generation	CodeCode Available	0
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images	May 31, 2022	Contrastive LearningDiagnostic	—Unverified	0
Contrasting quadratic assignments for set-based representation learning	May 31, 2022	Contrastive LearningMetric Learning	CodeCode Available	0
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference	May 31, 2022	Contrastive LearningData Augmentation	—Unverified	0
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping	May 31, 2022	Contrastive Learning	CodeCode Available	0
EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning	May 31, 2022	Contrastive LearningGenre classification	CodeCode Available	0
Contrastive Representation Learning for 3D Protein Structures	May 31, 2022	Contrastive LearningPrediction	—Unverified	0
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series	May 31, 2022	Contrastive LearningDimensionality Reduction	CodeCode Available	1
Analysis of Augmentations for Contrastive ECG Representation Learning	May 30, 2022	Arrhythmia DetectionContrastive Learning	—Unverified	0
Enhancing Sequential Recommendation with Graph Contrastive Learning	May 30, 2022	Auxiliary LearningContrastive Learning	—Unverified	0
Self-Supervised Visual Representation Learning with Semantic Grouping	May 30, 2022	Contrastive LearningInstance Segmentation	CodeCode Available	1
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding	May 30, 2022	Contrastive LearningData Augmentation	CodeCode Available	0
CoNT: Contrastive Neural Text Generation	May 29, 2022	Code Comment GenerationComment Generation	CodeCode Available	2
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning	May 29, 2022	AttributeContrastive Learning	—Unverified	0
FaIRCoP: Facial Image Retrieval using Contrastive Personalization	May 28, 2022	Contrastive LearningFace Image Retrieval	—Unverified	0
A Closer Look at Self-Supervised Lightweight Vision Transformers	May 28, 2022	Contrastive Learningimage-classification	CodeCode Available	1
Multimodal Masked Autoencoders Learn Transferable Representations	May 27, 2022	Contrastive Learning	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