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 4551–4575 of 6661 papers

Title	Date	Tasks	Status	Hype
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher	Sep 7, 2022	Contrastive LearningSelf-Supervised Learning	—Unverified	0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification	Sep 6, 2022	Contrastive LearningDomain Generalization	—Unverified	0
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation	Sep 6, 2022	Contrastive Learning	CodeCode Available	2
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery	Sep 6, 2022	Contrastive LearningDomain Adaptation	—Unverified	0
Multimodal contrastive learning for remote sensing tasks	Sep 6, 2022	Contrastive Learning	—Unverified	0
SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings	Sep 6, 2022	Compiler OptimizationContrastive Learning	CodeCode Available	0
Design of the topology for contrastive visual-textual alignment	Sep 5, 2022	Contrastive LearningImage-to-Text Retrieval	CodeCode Available	0
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus	Sep 5, 2022	Anomaly ClassificationContrastive Learning	—Unverified	0
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation	Sep 4, 2022	Contrastive LearningMedical Report Generation	—Unverified	0
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER	Sep 4, 2022	Contrastive Learningnamed-entity-recognition	CodeCode Available	1
Disentangled Graph Contrastive Learning for Review-based Recommendation	Sep 4, 2022	Contrastive LearningRecommendation Systems	—Unverified	0
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning	Sep 4, 2022	Contrastive LearningDecision Making	CodeCode Available	0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification	Sep 4, 2022	Contrastive LearningDecoder	—Unverified	0
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels	Sep 3, 2022	Contrastive Learningimage-classification	CodeCode Available	0
Explanation Guided Contrastive Learning for Sequential Recommendation	Sep 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction	Sep 3, 2022	Contrastive LearningInductive Link Prediction	CodeCode Available	1
Semi-Supervised Semantic Segmentation with Cross Teacher Training	Sep 3, 2022	Contrastive LearningSemantic Segmentation	CodeCode Available	0
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning	Sep 2, 2022	Contrastive LearningEEG	—Unverified	0
Temporal Contrastive Learning with Curriculum	Sep 2, 2022	Action RecognitionContrastive Learning	—Unverified	0
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications	Sep 2, 2022	Contrastive LearningDiversity	—Unverified	0
Multi-modal Contrastive Representation Learning for Entity Alignment	Sep 2, 2022	Contrastive LearningEntity Alignment	CodeCode Available	1
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images	Sep 2, 2022	ClusteringContrastive Learning	CodeCode Available	0
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning	Sep 2, 2022	Contrastive LearningGraph Neural Network	CodeCode Available	0
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification	Sep 1, 2022	ClassificationContrastive Learning	CodeCode Available	0
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning	Sep 1, 2022	Contrastive LearningHand Pose Estimation	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