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 1376–1400 of 6661 papers

Title	Date	Tasks	Status	Hype
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	CodeCode Available	1
Contrastive Multiview Coding	Jun 13, 2019	Contrastive LearningSelf-Supervised Action Recognition	CodeCode Available	1
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion	Aug 16, 2022	Contrastive LearningKnowledge Graph Completion	CodeCode Available	1
Contrastive Neural Processes for Self-Supervised Learning	Oct 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training	Apr 17, 2023	Contrastive LearningGPU	CodeCode Available	1
Disentangled Causal Embedding With Contrastive Learning For Recommender System	Feb 7, 2023	Contrastive LearningRecommendation Systems	CodeCode Available	1
DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data	Sep 25, 2024	Contrastive LearningPrognosis	CodeCode Available	1
Differentiable Data Augmentation for Contrastive Sentence Representation Learning	Oct 29, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Language modeling via stochastic processes	Mar 21, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	1
Language Models As Semantic Indexers	Oct 11, 2023	Contrastive LearningInformation Retrieval	CodeCode Available	1
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings	Sep 26, 2021	Contrastive LearningSemantic Textual Similarity	CodeCode Available	1
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
From t-SNE to UMAP with contrastive learning	Jun 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
Contrastive Meta Learning with Behavior Multiplicity for Recommendation	Feb 17, 2022	Contrastive LearningMeta-Learning	CodeCode Available	1
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification	Mar 15, 2023	Contrastive LearningMissing Labels	CodeCode Available	1
DiffSim: Taming Diffusion Models for Evaluating Visual Similarity	Dec 19, 2024	Contrastive LearningDenoising	CodeCode Available	1
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation	Dec 14, 2020	Conditional Text GenerationContrastive Learning	CodeCode Available	1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning	Aug 14, 2023	Contrastive LearningGenerative Adversarial Network	CodeCode Available	1
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation	Aug 8, 2022	Contrastive LearningSequential Recommendation	CodeCode Available	1
Contrastive Learning with Boosted Memorization	May 25, 2022	Contrastive LearningMemorization	CodeCode Available	1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment	Dec 2, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification	Jun 16, 2021	Alzheimer's DetectionContrastive Learning	CodeCode Available	1
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses	May 28, 2024	Contrastive LearningRepresentation Learning	CodeCode Available	1
Compressive Visual Representations	Sep 27, 2021	Contrastive LearningImage Classification	CodeCode Available	1
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning	Apr 18, 2022	Contrastive Learning	CodeCode Available	1

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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