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 1681–1690 of 6661 papers

Title	Date	Tasks	Status	Hype
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition	Oct 18, 2023	Audio ClassificationContrastive Learning	CodeCode Available	1
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery	Feb 2, 2024	Causal DiscoveryContrastive Learning	CodeCode Available	1
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement	Jun 4, 2023	Contrastive Learning	CodeCode Available	1
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration	Feb 17, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning	Sep 10, 2021	Continual PretrainingContrastive Learning	CodeCode Available	1
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs	May 23, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks	Jan 31, 2023	Contrastive LearningGraph Learning	CodeCode Available	1
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)	Dec 23, 2024	Contrastive LearningInformation Retrieval	CodeCode Available	1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval	Dec 17, 2024	Contrastive LearningInformation Retrieval	CodeCode Available	1
Data Poisoning Attacks Against Multimodal Encoders	Sep 30, 2022	Contrastive LearningData Poisoning	CodeCode Available	1

Show:10 25 50

← PrevPage 169 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