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 5826–5850 of 6661 papers

Title	Date	Tasks	Status	Hype
Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space	Sep 14, 2021	Contrastive Learning	CodeCode Available	0
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning	Sep 13, 2021	Contrastive LearningIntent Detection	CodeCode Available	1
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information	Sep 13, 2021	Contrastive Learningcoreference-resolution	—Unverified	0
Weakly Supervised Person Search with Region Siamese Networks	Sep 13, 2021	Contrastive LearningPerson Search	—Unverified	0
Exploring Task Difficulty for Few-Shot Relation Extraction	Sep 12, 2021	Contrastive LearningMeta-Learning	CodeCode Available	1
Pairwise Supervised Contrastive Learning of Sentence Representations	Sep 12, 2021	Contrastive LearningNatural Language Inference	CodeCode Available	1
Learning To Describe Player Form in The MLB	Sep 11, 2021	Contrastive LearningForm	CodeCode Available	2
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval	Sep 11, 2021	Contrastive LearningDeep Hashing	CodeCode Available	1
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning	Sep 10, 2021	Continual PretrainingContrastive Learning	CodeCode Available	1
Attention-based Contrastive Learning for Winograd Schemas	Sep 10, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	0
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation	Sep 10, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	1
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization	Sep 10, 2021	Abstractive Dialogue SummarizationArticles	CodeCode Available	1
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection	Sep 9, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	0
Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos	Sep 9, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	0
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding	Sep 9, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts	Sep 9, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
Smoothed Contrastive Learning for Unsupervised Sentence Embedding	Sep 9, 2021	Contrastive LearningSentence	CodeCode Available	1
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing	Sep 9, 2021	Contrastive LearningImitation Learning	—Unverified	0
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining	Sep 9, 2021	Contrastive Learning	—Unverified	0
Sequence Level Contrastive Learning for Text Summarization	Sep 8, 2021	Abstractive Text SummarizationContrastive Learning	CodeCode Available	1
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning	Sep 8, 2021	Contrastive LearningGraph Learning	—Unverified	0
Unpaired Deep Image Deraining Using Dual Contrastive Learning	Sep 7, 2021	Contrastive LearningImage Restoration	—Unverified	0
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation	Sep 7, 2021	Contrastive LearningMulti-Task Learning	—Unverified	0
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays	Sep 7, 2021	Contrastive LearningImage Segmentation	CodeCode Available	0
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval	Sep 6, 2021	Contrastive LearningDescriptive	CodeCode Available	0

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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