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Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1651–1660 of 3687 papers

Title	Date	Tasks	Status	Hype
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding	Jan 28, 2022	Graph AttentionKnowledge Distillation	CodeCode Available	1
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing	Jan 27, 2022	Data AugmentationDependency Parsing	CodeCode Available	0
Attentive Task Interaction Network for Multi-Task Learning	Jan 25, 2022	DecoderKnowledge Distillation	CodeCode Available	0
PaRT: Parallel Learning Towards Robust and Transparent AI	Jan 24, 2022	Continual LearningMulti-Task Learning	CodeCode Available	0
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction	Jan 22, 2022	Multi-Task LearningPrognosis	—Unverified	0
Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training	Jan 20, 2022	Multi-Task LearningSpeech Synthesis	—Unverified	0
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval	Jan 19, 2022	Contrastive LearningMulti-Task Learning	—Unverified	0
Understanding Few-Shot Multi-Task Representation Learning Theory	Jan 17, 2022	Few-Shot LearningLearning Theory	—Unverified	0
A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews	Jan 17, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees	Jan 17, 2022	Multi-Task Learning	CodeCode Available	1

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All datasets QM9 Cityscapes test NYUv2 OMNIGLOT CelebA UTKFace wireframe dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PCGrad	∆m%	125.7	—	Unverified
2	CAGrad	∆m%	112.8	—	Unverified
3	IMTL-G	∆m%	77.2	—	Unverified
4	Nash-MTL	∆m%	62	—	Unverified
5	BayesAgg-MTL	∆m%	53.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	mIoU	76.41	—	Unverified
2	Nash-MTL	mIoU	75.41	—	Unverified
3	MultiObjectiveOptimization	mIoU	66.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	Mean IoU	58.14	—	Unverified
2	Nash-MTL	Mean IoU	40.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Gumbel-Matrix Routing	Average Accuracy	93.52	—	Unverified
2	Mixture-of-Experts	Average Accuracy	92.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MGDA-UB	Error	8.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BayesAgg-MTL	delta_m	-2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LETR	FH	83.3	—	Unverified