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 761–770 of 6661 papers

Title	Date	Tasks	Status	Hype
Adaptive Dataset Quantization	Dec 22, 2024	Contrastive LearningDataset Distillation	—Unverified	0
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis	Dec 21, 2024	Contrastive LearningData Augmentation	—Unverified	0
Trusted Mamba Contrastive Network for Multi-View Clustering	Dec 21, 2024	ClusteringContrastive Learning	CodeCode Available	1
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances	Dec 21, 2024	Contrastive LearningDomain Adaptation	—Unverified	0
Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling	Dec 21, 2024	Contrastive LearningImage Retrieval	CodeCode Available	0
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"	Dec 21, 2024	Contrastive LearningData Augmentation	CodeCode Available	0
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction	Dec 21, 2024	Anomaly DetectionContrastive Learning	—Unverified	0
Graph Structure Refinement with Energy-based Contrastive Learning	Dec 20, 2024	Contrastive LearningNode Classification	—Unverified	0
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification	Dec 20, 2024	Contrastive LearningGraph Neural Network	—Unverified	0
Contrastive Learning for Task-Independent SpeechLLM-Pretraining	Dec 20, 2024	Contrastive LearningQuestion Answering	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