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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 1021–1030 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection	Mar 9, 2025	Backdoor AttackMulti-Task Learning	CodeCode Available	0	5
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets	Jan 1, 2023	Multi-Task LearningNeural Architecture Search	CodeCode Available	0	5
Constrained Multi-Task Learning for Event Coreference Resolution	Jun 1, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	0	5
Constrained Multi-Task Learning for Bridging Resolution	May 1, 2022	Multi-Task Learning	CodeCode Available	0	5
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection	Nov 21, 2024	Backdoor AttackMulti-Task Learning	CodeCode Available	0	5
Hierarchical Multi-task learning framework for Isometric-Speech Language Translation	May 1, 2022	Machine TranslationMulti-Task Learning	CodeCode Available	0	5
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment	Feb 25, 2025	Multi-Task LearningVariable Selection	CodeCode Available	0	5
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition	Nov 16, 2021	Cross-Lingual NERKnowledge Distillation	CodeCode Available	0	5
Conic Multi-Task Classification	Aug 20, 2014	ClassificationGeneral Classification	CodeCode Available	0	5
Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling	Apr 30, 2021	ClassificationGeneral Classification	CodeCode Available	0	5

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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