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 826–850 of 6661 papers

Title	Date	Tasks	Status	Hype
Fragment-based Pretraining and Finetuning on Molecular Graphs	Oct 5, 2023	Contrastive LearningProperty Prediction	CodeCode Available	1
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection	Sep 18, 2020	Contrastive LearningTopic Models	CodeCode Available	1
Frequency-Based Alignment of EEG and Audio Signals Using Contrastive Learning and SincNet for Auditory Attention Detection	Mar 6, 2025	Contrastive LearningEEG	CodeCode Available	1
CL4CTR: A Contrastive Learning Framework for CTR Prediction	Dec 1, 2022	Click-Through Rate PredictionContrastive Learning	CodeCode Available	1
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning	Dec 30, 2024	Contrastive LearningLinear evaluation	CodeCode Available	1
Contrastive Neural Processes for Self-Supervised Learning	Oct 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training	Oct 3, 2022	3D Point Cloud ClassificationContrastive Learning	CodeCode Available	1
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration	May 5, 2022	Contrastive LearningDialogue Generation	CodeCode Available	1
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning	Apr 14, 2023	Change DetectionContrastive Learning	CodeCode Available	1
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations	Oct 30, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs	Jul 7, 2024	Contrastive Learningobject-detection	CodeCode Available	1
Multi-level Feature Learning for Contrastive Multi-view Clustering	Jun 21, 2021	ClusteringContrastive Learning	CodeCode Available	1
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts	Nov 28, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning	Nov 26, 2021	Contrastive LearningInstance Segmentation	CodeCode Available	1
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition	Oct 18, 2023	Audio ClassificationContrastive Learning	CodeCode Available	1
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training	Jun 17, 2020	Contrastive LearningGeneral Classification	CodeCode Available	1
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering	May 11, 2023	ClusteringContrastive Learning	CodeCode Available	1
A Simple Graph Contrastive Learning Framework for Short Text Classification	Jan 16, 2025	Contrastive LearningData Augmentation	CodeCode Available	1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval	Dec 17, 2024	Contrastive LearningInformation Retrieval	CodeCode Available	1
Contrastive Meta Learning with Behavior Multiplicity for Recommendation	Feb 17, 2022	Contrastive LearningMeta-Learning	CodeCode Available	1
Generalized Category Discovery with Large Language Models in the Loop	Dec 18, 2023	Active LearningContrastive Learning	CodeCode Available	1
A Broad Study on the Transferability of Visual Representations with Contrastive Learning	Mar 24, 2021	Contrastive LearningLinear evaluation	CodeCode Available	1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation	Mar 9, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction	May 19, 2022	Contrastive LearningRelation	CodeCode Available	1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP	Jan 12, 2023	3D Semantic SegmentationContrastive 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