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 5226–5250 of 6661 papers

Title	Date	Tasks	Status	Hype
Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding	Mar 8, 2022	Contrastive LearningSentence	—Unverified	0
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation	Mar 7, 2022	Contrastive LearningDomain Adaptation	—Unverified	0
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies	Mar 7, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	0
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks	Mar 7, 2022	ClassificationContrastive Learning	CodeCode Available	1
Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning	Mar 7, 2022	Contrastive Learning	—Unverified	0
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning	Mar 5, 2022	Contrastive LearningGeneralized Zero-Shot Learning	—Unverified	0
Consistent Representation Learning for Continual Relation Extraction	Mar 5, 2022	Continual Relation ExtractionContrastive Learning	CodeCode Available	1
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models	Mar 4, 2022	Contrastive LearningGraph Embedding	CodeCode Available	2
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores	Mar 4, 2022	Contrastive Learning	—Unverified	0
MixCL: Pixel label matters to contrastive learning	Mar 4, 2022	Contrastive LearningImage Segmentation	—Unverified	0
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations	Mar 3, 2022	AttributeContrastive Learning	CodeCode Available	1
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning	Mar 3, 2022	Compositional Zero-Shot LearningContrastive Learning	CodeCode Available	2
Relative distance matters for one-shot landmark detection	Mar 3, 2022	Contrastive Learning	—Unverified	0
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning	Mar 3, 2022	Contrastive LearningFairness	CodeCode Available	1
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks	Mar 3, 2022	Contrastive LearningImage-to-Image Translation	CodeCode Available	1
Learning Moving-Object Tracking with FMCW LiDAR	Mar 2, 2022	Contrastive LearningObject	—Unverified	0
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think	Mar 2, 2022	Contrastive Learning	CodeCode Available	0
Adaptive Discriminative Regularization for Visual Classification	Mar 2, 2022	ClassificationContrastive Learning	—Unverified	0
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images	Mar 2, 2022	Contrastive LearningData Augmentation	CodeCode Available	0
Self-supervised Transformer for Deepfake Detection	Mar 2, 2022	Contrastive LearningDeepFake Detection	—Unverified	0
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input	Mar 2, 2022	Contrastive LearningOne-Shot Learning	—Unverified	0
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue	Mar 1, 2022	Contrastive LearningConversational Response Selection	—Unverified	0
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding	Mar 1, 2022	3D Object Classification3D Point Cloud Linear Classification	CodeCode Available	2
ACTIVE:Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering	Mar 1, 2022	ClusteringContrastive Learning	—Unverified	0
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction	Mar 1, 2022	Contrastive LearningModel-based Reinforcement Learning	—Unverified	0

Show:10 25 50

← PrevPage 210 of 267Next →

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