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

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Showing 1576–1600 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
3D Interaction Geometric Pre-training for Molecular Relational Learning	Dec 4, 2024	Contrastive LearningDrug Discovery	CodeCode Available	1	5
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis	Oct 28, 2022	Active LearningAttribute	CodeCode Available	1	5
CRIS: CLIP-Driven Referring Image Segmentation	Nov 30, 2021	Contrastive LearningDecoder	CodeCode Available	1	5
Learning Robust Deep Visual Representations from EEG Brain Recordings	Oct 25, 2023	Contrastive LearningEEG	CodeCode Available	1	5
R-MAE: Regions Meet Masked Autoencoders	Jun 8, 2023	Contrastive LearningInteractive Segmentation	CodeCode Available	1	5
Artistic Style Transfer with Internal-external Learning and Contrastive Learning	Dec 1, 2021	Contrastive LearningStyle Transfer	CodeCode Available	1	5
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders	Nov 1, 2023	AvgContrastive Learning	CodeCode Available	1	5
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction	Mar 22, 2021	ClusteringContrastive Learning	CodeCode Available	1	5
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling	Sep 28, 2020	Contrastive LearningDenoising	CodeCode Available	1	5
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis	Apr 21, 2024	3D-Aware Image SynthesisContrastive Learning	CodeCode Available	1	5
Cross-Architecture Self-supervised Video Representation Learning	May 26, 2022	Action RecognitionContrastive Learning	CodeCode Available	1	5
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks	Jan 31, 2023	Adversarial RobustnessAutonomous Driving	CodeCode Available	1	5
Guarding Barlow Twins Against Overfitting with Mixed Samples	Dec 4, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1	5
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation	Jun 1, 2022	Contrastive LearningGraph Learning	CodeCode Available	1	5
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation	Oct 15, 2021	3D Semantic SegmentationContrastive Learning	CodeCode Available	1	5
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising	Jul 23, 2023	AnatomyComputed Tomography (CT)	CodeCode Available	1	5
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection	Apr 6, 2022	Contrastive LearningOut-of-Distribution Detection	CodeCode Available	1	5
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning	Mar 20, 2023	Contrastive Learning	CodeCode Available	1	5
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model	Dec 12, 2023	Contrastive LearningHallucination	CodeCode Available	1	5
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment	Dec 2, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization	Oct 30, 2020	Contrastive LearningGeneral Classification	CodeCode Available	1	5
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning	Dec 5, 2020	ClassificationContrastive Learning	CodeCode Available	1	5
Hard Negative Mixing for Contrastive Learning	Oct 2, 2020	Contrastive LearningData Augmentation	CodeCode Available	1	5
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation	Feb 8, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1	5
Learning Better Contrastive View from Radiologist's Gaze	May 15, 2023	Contrastive LearningData Augmentation	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