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 3411–3420 of 6661 papers

Title	Date	Tasks	Status	Hype
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification	May 24, 2023	ClassificationContrastive Learning	—Unverified	0
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification	May 24, 2023	Contrastive Learningintent-classification	CodeCode Available	1
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality	May 24, 2023	Abstractive Text SummarizationContrastive Learning	CodeCode Available	0
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions	May 23, 2023	Contrastive LearningImage-text Retrieval	CodeCode Available	1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation	May 23, 2023	Contrastive LearningMachine Translation	CodeCode Available	1
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering	May 23, 2023	ClusteringContrastive Learning	CodeCode Available	1
Real-Time Idling Vehicles Detection using Combined Audio-Visual Deep Learning	May 23, 2023	Contrastive Learning	—Unverified	0
On Learning to Summarize with Large Language Models as References	May 23, 2023	ArticlesContrastive Learning	CodeCode Available	1
Optimizing Non-Autoregressive Transformers with Contrastive Learning	May 23, 2023	Contrastive LearningMachine Translation	—Unverified	0
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings	May 23, 2023	Community DetectionContrastive Learning	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