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

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Showing 2976–3000 of 6661 papers

Title	Date	Tasks	Status	Score
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning	Aug 4, 2023	Contrastive LearningMulti-Task Learning	CodeCode Available	5
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning	Mar 25, 2024	ClassificationContrastive Learning	CodeCode Available	5
Cone: Unsupervised Contrastive Opinion Extraction	May 8, 2023	ClusteringContrastive Learning	CodeCode Available	5
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection	Feb 14, 2025	Contrastive LearningSelf-Supervised Learning	CodeCode Available	5
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning	Nov 8, 2022	Contrastive LearningKnowledge Graphs	CodeCode Available	5
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs	Dec 1, 2023	Contrastive LearningDiversity	CodeCode Available	5
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity	May 13, 2025	Contrastive LearningObject	CodeCode Available	5
Conditional Supervised Contrastive Learning for Fair Text Classification	May 23, 2022	ClassificationContrastive Learning	CodeCode Available	5
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?	Feb 19, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search	Nov 15, 2023	Contrastive LearningCross-Modal Retrieval	CodeCode Available	5
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning	Mar 16, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation	Apr 13, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	5
Conditional Negative Sampling for Contrastive Learning of Visual Representations	Oct 5, 2020	Contrastive LearningInstance Segmentation	CodeCode Available	5
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning	Jan 9, 2024	Contrastive LearningKnowledge Graphs	CodeCode Available	5
Efficient block contrastive learning via parameter-free meta-node approximation	Sep 28, 2022	Contrastive LearningGPU	CodeCode Available	5
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning	Jun 26, 2024	Contrastive LearningCross-Modal Retrieval	CodeCode Available	5
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation	Oct 16, 2022	Computed Tomography (CT)Contrastive Learning	CodeCode Available	5
Contrastive Variational Autoencoder Enhances Salient Features	Feb 12, 2019	Contrastive Learning	CodeCode Available	5
Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Models	May 13, 2022	Contrastive LearningReading Comprehension	CodeCode Available	5
Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data	May 21, 2024	Contrastive LearningInformation Retrieval	CodeCode Available	5
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection	Feb 8, 2023	Contrastive Learning	CodeCode Available	5
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?	Jul 31, 2023	Contrastive LearningKnowledge Distillation	CodeCode Available	5
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions	Nov 7, 2022	Contrastive Learningmultimodal interaction	CodeCode Available	5
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary	Apr 20, 2023	Contrastive Learningintent-classification	CodeCode Available	5
ConCur: Self-supervised graph representation based on contrastive learning with curriculum negative sampling	Sep 1, 2023	Contrastive LearningGraph Representation Learning	CodeCode Available	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