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 5251–5275 of 6661 papers

Title	Date	Tasks	Status	Hype
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning	Mar 1, 2022	Contrastive Learningcounterfactual	CodeCode Available	1
Robots Autonomously Detecting People: A Multimodal Deep Contrastive Learning Method Robust to Intraclass Variations	Mar 1, 2022	Contrastive LearningData Augmentation	—Unverified	0
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification	Mar 1, 2022	ClusteringContrastive Learning	—Unverified	0
A Mutually Reinforced Framework for Pretrained Sentence Embeddings	Feb 28, 2022	Contrastive LearningRepresentation Learning	—Unverified	0
Understanding Contrastive Learning Requires Incorporating Inductive Biases	Feb 28, 2022	Contrastive LearningSelf-Supervised Learning	—Unverified	0
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment	Feb 28, 2022	3D Action RecognitionAction Analysis	CodeCode Available	1
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining	Feb 27, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction	Feb 27, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding	Feb 26, 2022	Contrastive LearningSentence	CodeCode Available	1
Multi-Level Contrastive Learning for Cross-Lingual Alignment	Feb 26, 2022	Contrastive LearningCross-Lingual Transfer	—Unverified	0
Disentangling Long and Short-Term Interests for Recommendation	Feb 26, 2022	Contrastive Learningcounterfactual	CodeCode Available	1
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning	Feb 26, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	1
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric	Feb 25, 2022	Contrastive LearningSelf-Supervised Learning	—Unverified	0
ARIA: Adversarially Robust Image Attribution for Content Provenance	Feb 25, 2022	Contrastive LearningImage Attribution	—Unverified	0
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance	Feb 24, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Deep learning-based UAV detection in the low altitude clutter background	Feb 24, 2022	Contrastive Learning	—Unverified	0
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning	Feb 24, 2022	Contrastive LearningData Augmentation	—Unverified	0
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning	Feb 22, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Movies2Scenes: Using Movie Metadata to Learn Scene Representation	Feb 22, 2022	Contrastive LearningScene Understanding	—Unverified	0
A Self-Supervised Descriptor for Image Copy Detection	Feb 21, 2022	Contrastive LearningCopy Detection	CodeCode Available	2
Vision-Language Pre-Training with Triple Contrastive Learning	Feb 21, 2022	Contrastive Learningcross-modal alignment	CodeCode Available	2
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation	Feb 18, 2022	Autonomous VehiclesContrastive Learning	—Unverified	0
CLSEG: Contrastive Learning of Story Ending Generation	Feb 18, 2022	Contrastive LearningText Generation	CodeCode Available	0
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast	Feb 18, 2022	Computational chemistryContrastive Learning	CodeCode Available	1
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning	Feb 18, 2022	Contrastive LearningFew-Shot 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