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 1101–1110 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation	Mar 7, 2024	Continual LearningContrastive Learning	CodeCode Available	1	5
Adaptive Graph Contrastive Learning for Recommendation	May 18, 2023	Collaborative FilteringContrastive Learning	CodeCode Available	1	5
Contrastive Embeddings for Neural Architectures	Feb 8, 2021	Contrastive LearningNeural Architecture Search	CodeCode Available	1	5
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning	Sep 15, 2021	Contrastive LearningFew-shot NER	CodeCode Available	1	5
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation	May 20, 2021	Contrastive LearningData Augmentation	CodeCode Available	1	5
Fragment-based Pretraining and Finetuning on Molecular Graphs	Oct 5, 2023	Contrastive LearningProperty Prediction	CodeCode Available	1	5
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning	Dec 30, 2024	Contrastive LearningLinear evaluation	CodeCode Available	1	5
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure	Nov 14, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
Contrastive Learning for Knowledge Tracing	Apr 25, 2022	Contrastive LearningData Augmentation	CodeCode Available	1	5
GAN-Control: Explicitly Controllable GANs	Jan 7, 2021	Contrastive LearningDisentanglement	CodeCode Available	1	5

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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