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 4476–4500 of 6661 papers

Title	Date	Tasks	Status	Hype
Dynamic Negative Example Construction for Grammatical Error Correction using Contrastive Learning	Oct 1, 2022	Contrastive LearningGrammatical Error Correction	—Unverified	0
SPACL: Shared-Private Architecture based on Contrastive Learning for Multi-domain Text Classification	Oct 1, 2022	ClassificationContrastive Learning	—Unverified	0
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback	Oct 1, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	0
Heterogeneous Graph Contrastive Multi-view Learning	Oct 1, 2022	Contrastive LearningMULTI-VIEW LEARNING	CodeCode Available	1
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning	Oct 1, 2022	Contrastive LearningGraph Representation Learning	—Unverified	0
Contrastive Graph Few-Shot Learning	Sep 30, 2022	Contrastive LearningFew-Shot Learning	—Unverified	0
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training	Sep 30, 2022	Computational EfficiencyContrastive Learning	—Unverified	0
Slimmable Networks for Contrastive Self-supervised Learning	Sep 30, 2022	Contrastive LearningKnowledge Distillation	CodeCode Available	0
Data Poisoning Attacks Against Multimodal Encoders	Sep 30, 2022	Contrastive LearningData Poisoning	CodeCode Available	1
Contrastive Corpus Attribution for Explaining Representations	Sep 30, 2022	Contrastive LearningObject Localization	CodeCode Available	0
Few-shot Text Classification with Dual Contrastive Consistency	Sep 29, 2022	ClassificationContrastive Learning	—Unverified	0
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization	Sep 29, 2022	Abstractive Text SummarizationContrastive Learning	CodeCode Available	1
Understanding Collapse in Non-Contrastive Siamese Representation Learning	Sep 29, 2022	Continual LearningContrastive Learning	CodeCode Available	1
Prompt-guided Scene Generation for 3D Zero-Shot Learning	Sep 29, 2022	Contrastive LearningData Augmentation	—Unverified	0
REST: REtrieve & Self-Train for generative action recognition	Sep 29, 2022	Action RecognitionCaption Generation	—Unverified	0
Does Zero-Shot Reinforcement Learning Exist?	Sep 29, 2022	Contrastive Learningreinforcement-learning	CodeCode Available	1
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval	Sep 28, 2022	Contrastive LearningRetrieval	—Unverified	0
Graph Soft-Contrastive Learning via Neighborhood Ranking	Sep 28, 2022	Contrastive LearningSelf-Supervised Learning	—Unverified	0
Weighted Contrastive Hashing	Sep 28, 2022	Contrastive LearningData Augmentation	CodeCode Available	0
Learning Deep Representations via Contrastive Learning for Instance Retrieval	Sep 28, 2022	Contrastive LearningImage Retrieval	—Unverified	0
Efficient block contrastive learning via parameter-free meta-node approximation	Sep 28, 2022	Contrastive LearningGPU	CodeCode Available	0
Supervised Contrastive Learning as Multi-Objective Optimization for Fine-Tuning Large Pre-trained Language Models	Sep 28, 2022	Contrastive LearningLanguage Modeling	—Unverified	0
Audio Retrieval with WavText5K and CLAP Training	Sep 28, 2022	AudioCapsAudio captioning	CodeCode Available	1
WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs	Sep 27, 2022	ArticlesContrastive Learning	CodeCode Available	1
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels	Sep 27, 2022	AnatomyContrastive Learning	CodeCode Available	0

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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