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 3251–3260 of 6661 papers

Title	Date	Tasks	Status	Hype
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data	Jul 5, 2023	Alzheimer's Disease DetectionContrastive Learning	CodeCode Available	1
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need	Jul 5, 2023	AllClassification	CodeCode Available	1
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction	Jul 4, 2023	AttributeContrastive Learning	—Unverified	0
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification	Jul 4, 2023	Contrastive Learningtext-classification	—Unverified	0
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases	Jul 4, 2023	Contrastive Learningcounterfactual	—Unverified	0
Learning Multi-Agent Communication with Contrastive Learning	Jul 3, 2023	Contrastive Learning	—Unverified	0
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis	Jul 3, 2023	Contrastive LearningImage Generation	—Unverified	0
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning	Jul 3, 2023	Contrastive LearningData Augmentation	CodeCode Available	0
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval	Jul 2, 2023	Biomedical Information RetrievalContrastive Learning	CodeCode Available	2
Multiscale Progressive Text Prompt Network for Medical Image Segmentation	Jun 30, 2023	Contrastive LearningImage Segmentation	—Unverified	0

Show:10 25 50

← PrevPage 326 of 667Next →

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