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 1951–1975 of 6661 papers

Title	Date	Tasks	Status	Score
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction	Oct 5, 2021	Contrastive LearningCrime Prediction	CodeCode Available	5
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation	Mar 12, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning	Mar 31, 2024	AttributeContrastive Learning	CodeCode Available	5
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features	Oct 19, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads	Feb 19, 2025	Contrastive LearningQuestion Answering	CodeCode Available	5
Multi-Label Contrastive Learning for Abstract Visual Reasoning	Dec 3, 2020	Contrastive LearningData Augmentation	CodeCode Available	5
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations	Mar 20, 2023	Contrastive LearningCross-Modal Retrieval	CodeCode Available	5
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning	Apr 11, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	5
Disentangled Modeling of Preferences and Social Influence for Group Recommendation	Jan 20, 2025	Contrastive LearningSelf-Supervised Learning	CodeCode Available	5
Motif-Centric Representation Learning for Symbolic Music	Sep 19, 2023	Contrastive LearningDiversity	CodeCode Available	5
M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms	Sep 7, 2023	Contrastive LearningDiagnostic	CodeCode Available	5
Disentangled Contrastive Learning for Social Recommendation	Aug 18, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	5
Disentangled Contrastive Learning for Learning Robust Textual Representations	Apr 11, 2021	Contrastive Learning	CodeCode Available	5
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning	Jan 30, 2024	Contrastive LearningEthics	CodeCode Available	5
MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning	Jun 25, 2024	Code GenerationContrastive Learning	CodeCode Available	5
CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework	Apr 17, 2025	Contrastive Learning	CodeCode Available	5
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis	Apr 2, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
ALBRT: Cellular Composition Prediction in Routine Histology Images	Aug 18, 2021	Contrastive LearningPrediction	CodeCode Available	5
Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering	Jan 7, 2025	ClusteringContrastive Learning	CodeCode Available	5
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis	Aug 31, 2023	Contrastive LearningKnowledge Distillation	CodeCode Available	5
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning	Sep 2, 2024	Contrastive Learninggraph construction	CodeCode Available	5
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning	Feb 28, 2025	Contrastive Learning	CodeCode Available	5
Molecular Graph Contrastive Learning with Line Graph	Jan 15, 2025	AttributeContrastive Learning	CodeCode Available	5
COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding	Sep 19, 2024	Contrastive LearningPanoptic Segmentation	CodeCode Available	5
MaCLR: Motion-aware Contrastive Learning of Representations for Videos	Jun 17, 2021	Action DetectionAction Recognition	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