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 2821–2830 of 6661 papers

Title	Date	Tasks	Status	Hype
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation	Oct 13, 2023	Contrastive LearningDialogue Generation	—Unverified	0
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations	Oct 13, 2023	Contrastive Learning	—Unverified	0
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification	Oct 13, 2023	ClassificationContrastive Learning	—Unverified	0
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images	Oct 13, 2023	Contrastive LearningDiagnostic	—Unverified	0
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling	Oct 13, 2023	Contrastive Learningslot-filling	CodeCode Available	0
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport	Oct 13, 2023	Activity RecognitionContrastive Learning	—Unverified	0
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval	Oct 13, 2023	Contrastive LearningRetrieval	—Unverified	0
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning	Oct 12, 2023	Contrastive LearningData Augmentation	—Unverified	0
SimCKP: Simple Contrastive Learning of Keyphrase Representations	Oct 12, 2023	Contrastive LearningKeyphrase Extraction	CodeCode Available	1
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning	Oct 12, 2023	Contrastive LearningGenre classification	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