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 5851–5875 of 6661 papers

Title	Date	Tasks	Status	Hype
Information Theory-Guided Heuristic Progressive Multi-View Coding	Sep 6, 2021	Contrastive LearningMULTI-VIEW LEARNING	—Unverified	0
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition	Sep 5, 2021	Activity RecognitionContrastive Learning	—Unverified	0
The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description	Sep 5, 2021	ClusteringContrastive Learning	—Unverified	0
Semantics-Guided Contrastive Network for Zero-Shot Object detection	Sep 4, 2021	Contrastive LearningGeneralized Zero-Shot Object Detection	—Unverified	0
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic	Sep 4, 2021	ArticlesContrastive Learning	CodeCode Available	1
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis	Sep 4, 2021	Contrastive LearningMultimodal Sentiment Analysis	—Unverified	0
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation	Sep 3, 2021	Contrastive LearningDecoder	CodeCode Available	1
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision	Sep 3, 2021	Continual LearningContrastive Learning	CodeCode Available	0
Revisiting 3D ResNets for Video Recognition	Sep 3, 2021	Action ClassificationContrastive Learning	CodeCode Available	0
Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images	Sep 3, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
Motifs-based Recommender System via Hypergraph Convolution and Contrastive Learning	Sep 2, 2021	Contrastive LearningRecommendation Systems	CodeCode Available	0
Self-supervised Representation Learning for Trip Recommendation	Sep 2, 2021	Contrastive LearningDiversity	—Unverified	0
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning	Sep 2, 2021	Contrastive LearningLanguage Modeling	CodeCode Available	1
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation	Sep 1, 2021	Contrastive LearningSequential Recommendation	CodeCode Available	1
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues	Sep 1, 2021	BenchmarkingContrastive Learning	CodeCode Available	1
Multi-Sample based Contrastive Loss for Top-k Recommendation	Sep 1, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning	Aug 31, 2021	Contrastive Learning	—Unverified	0
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets	Aug 31, 2021	ClassificationContrastive Learning	CodeCode Available	1
Injecting Text in Self-Supervised Speech Pretraining	Aug 27, 2021	Contrastive LearningLanguage Modelling	—Unverified	0
Learning Cross-modal Contrastive Features for Video Domain Adaptation	Aug 26, 2021	Action RecognitionContrastive Learning	—Unverified	0
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization	Aug 26, 2021	Abstractive Text SummarizationContrastive Learning	CodeCode Available	1
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging	Aug 26, 2021	Contrastive LearningFew-Shot Learning	—Unverified	0
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?	Aug 26, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization	Aug 26, 2021	Abstractive Text SummarizationContrastive Learning	CodeCode Available	1
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning	Aug 25, 2021	Contrastive Learning	—Unverified	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