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 1376–1400 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning	Sep 10, 2021	Continual PretrainingContrastive Learning	CodeCode Available	1	5
Modulated Contrast for Versatile Image Synthesis	Mar 17, 2022	Contrastive LearningImage Generation	CodeCode Available	1	5
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter	Oct 19, 2023	Contrastive LearningIUPAC Name Prediction	CodeCode Available	1	5
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)	Dec 23, 2024	Contrastive LearningInformation Retrieval	CodeCode Available	1	5
Contrastive Learning Reduces Hallucination in Conversations	Dec 20, 2022	Contrastive LearningHallucination	CodeCode Available	1	5
Contrastive Neural Processes for Self-Supervised Learning	Oct 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1	5
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators	Sep 21, 2021	Contrastive LearningGraph Representation Learning	CodeCode Available	1	5
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer	Jan 14, 2022	ClassificationContrastive Learning	CodeCode Available	1	5
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models	Jun 10, 2025	Contrastive LearningImage-text matching	CodeCode Available	1	5
Efficient Non-Local Contrastive Attention for Image Super-Resolution	Jan 11, 2022	Contrastive LearningFeature Correlation	CodeCode Available	1	5
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging	Sep 30, 2021	Action RecognitionContrastive Learning	CodeCode Available	1	5
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling	Oct 7, 2021	Contrastive Learningslot-filling	CodeCode Available	1	5
From t-SNE to UMAP with contrastive learning	Jun 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
Efficient Zero-shot Event Extraction with Context-Definition Alignment	Nov 9, 2022	Contrastive LearningEvent Extraction	CodeCode Available	1	5
Contrastive Prototypical Network with Wasserstein Confidence Penalty	Oct 21, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1	5
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views	Oct 12, 2024	ClusteringContrastive Learning	CodeCode Available	1	5
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation	Dec 14, 2020	Conditional Text GenerationContrastive Learning	CodeCode Available	1	5
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning	Aug 14, 2023	Contrastive LearningGenerative Adversarial Network	CodeCode Available	1	5
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation	Aug 8, 2022	Contrastive LearningSequential Recommendation	CodeCode Available	1	5
Improving Gloss-free Sign Language Translation by Reducing Representation Density	May 23, 2024	Contrastive LearningGloss-free Sign Language Translation	CodeCode Available	1	5
Multi-Grained Multimodal Interaction Network for Entity Linking	Jul 19, 2023	Contrastive LearningDescriptive	CodeCode Available	1	5
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification	Jun 16, 2021	Alzheimer's DetectionContrastive Learning	CodeCode Available	1	5
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses	May 28, 2024	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition	May 20, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1	5
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast	Feb 18, 2022	Computational chemistryContrastive Learning	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