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 5451–5475 of 6661 papers

Title	Date	Tasks	Status
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays	Jul 23, 2022	Contrastive LearningHard Attention	—Unverified
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation	Jul 22, 2022	Contrastive LearningDomain Adaptation	—Unverified
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse	Jul 19, 2022	Contrastive LearningRepresentation Learning	—Unverified
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance	Jul 19, 2022	Contrastive LearningDecision Making	—Unverified
Real-time End-to-End Video Text Spotter with Contrastive Representation Learning	Jul 18, 2022	Contrastive LearningGPU	CodeCode Available
AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify	Jul 18, 2022	Contrastive LearningMulti-Task Learning	—Unverified
Action-based Contrastive Learning for Trajectory Prediction	Jul 18, 2022	Autonomous DrivingContrastive Learning	—Unverified
Action-conditioned On-demand Motion Generation	Jul 17, 2022	Contrastive LearningDecoder	CodeCode Available
LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training	Jul 16, 2022	Action RecognitionContrastive Learning	—Unverified
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas	Jul 16, 2022	Contrastive LearningGraph Representation Learning	CodeCode Available
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation	Jul 14, 2022	Contrastive LearningDomain Adaptation	CodeCode Available
An Asymmetric Contrastive Loss for Handling Imbalanced Datasets	Jul 14, 2022	Contrastive LearningRepresentation Learning	CodeCode Available
Contrastive Adapters for Foundation Model Group Robustness	Jul 14, 2022	Contrastive Learningmodel	—Unverified
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model	Jul 14, 2022	Contrastive LearningGraph Learning	—Unverified
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping	Jul 13, 2022	ClusteringContrastive Learning	—Unverified
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing	Jul 13, 2022	Contrastive Learningimage-classification	—Unverified
Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated Content	Jul 13, 2022	Contrastive LearningOptical Flow Estimation	CodeCode Available
Dual Contrastive Learning for Spatio-temporal Representation	Jul 12, 2022	Contrastive LearningRepresentation Learning	—Unverified
Contrastive Learning for Online Semi-Supervised General Continual Learning	Jul 12, 2022	Continual LearningContrastive Learning	CodeCode Available
Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning	Jul 12, 2022	Contrastive LearningData Augmentation	—Unverified
RUSH: Robust Contrastive Learning via Randomized Smoothing	Jul 11, 2022	Adversarial RobustnessContrastive Learning	—Unverified
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease	Jul 11, 2022	Contrastive LearningData Augmentation	CodeCode Available
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision	Jul 11, 2022	Contrastive Learningobject-detection	CodeCode Available
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition	Jul 10, 2022	Activity RecognitionContrastive Learning	CodeCode Available
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation	Jul 10, 2022	Contrastive LearningDomain Adaptation	—Unverified

Show:10 25 50

← PrevPage 219 of 267Next →

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