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 5201–5225 of 6661 papers

Title	Date	Tasks	Status	Hype
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering	Mar 15, 2022	ClusteringContrastive Learning	CodeCode Available	1
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation	Mar 14, 2022	Contrastive LearningDomain Adaptation	—Unverified	0
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning	Mar 14, 2022	AttributeContrastive Learning	CodeCode Available	1
Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification	Mar 14, 2022	Contrastive LearningHyperspectral Image Classification	—Unverified	0
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning	Mar 14, 2022	Contrastive Learning	CodeCode Available	1
Rethinking Minimal Sufficient Representation in Contrastive Learning	Mar 14, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation	Mar 14, 2022	Contrastive LearningDeformable Object Manipulation	—Unverified	0
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition	Mar 14, 2022	Contrastive LearningKnowledge Graphs	—Unverified	0
Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation	Mar 13, 2022	Autonomous DrivingContrastive Learning	—Unverified	0
Neuromorphic Data Augmentation for Training Spiking Neural Networks	Mar 11, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval	Mar 11, 2022	Contrastive LearningRe-Ranking	CodeCode Available	1
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings	Mar 11, 2022	Contrastive LearningSemantic Textual Similarity	CodeCode Available	1
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection	Mar 11, 2022	Contrastive LearningCo-Salient Object Detection	CodeCode Available	1
Protein Representation Learning by Geometric Structure Pretraining	Mar 11, 2022	Contrastive LearningPrediction	CodeCode Available	2
MetAug: Contrastive Learning via Meta Feature Augmentation	Mar 10, 2022	Contrastive LearningInformativeness	CodeCode Available	1
Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing	Mar 10, 2022	Contrastive LearningDomain Generalization	CodeCode Available	1
3SD: Self-Supervised Saliency Detection With No Labels	Mar 9, 2022	ClassificationContrastive Learning	CodeCode Available	0
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion	Mar 9, 2022	Brain Tumor SegmentationContrastive Learning	—Unverified	0
What Matters For Meta-Learning Vision Regression Tasks?	Mar 9, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading	Mar 8, 2022	Contrastive LearningDiagnostic	—Unverified	0
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification	Mar 8, 2022	ClassificationContrastive Learning	CodeCode Available	1
UniXcoder: Unified Cross-Modal Pre-training for Code Representation	Mar 8, 2022	Code CompletionCode Search	CodeCode Available	1
Predicting conversion of mild cognitive impairment to Alzheimer's disease	Mar 8, 2022	Contrastive LearningDiffusion MRI	—Unverified	0
Contrastive Conditional Neural Processes	Mar 8, 2022	Contrastive LearningMeta-Learning	—Unverified	0
Selective-Supervised Contrastive Learning with Noisy Labels	Mar 8, 2022	Contrastive LearningImage Classification	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