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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 1751–1760 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
A Unified Architecture for Semantic Role Labeling and Relation Classification	Dec 1, 2016	ClassificationFeature Engineering	—Unverified	0	0
A Multi-Task Architecture on Relevance-based Neural Query Translation	Jun 17, 2019	Cross-Lingual Information RetrievalInformation Retrieval	—Unverified	0	0
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy	Jun 30, 2021	Multi-Task Learning	—Unverified	0	0
Intelligent optical performance monitor using multi-task learning based artificial neural network	Dec 10, 2018	Multi-Task Learning	—Unverified	0	0
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding	Apr 15, 2021	intent-classificationIntent Classification	—Unverified	0	0
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images	Aug 23, 2018	Multi-Task LearningSemantic Segmentation	—Unverified	0	0
Learning Multiple Tasks with Multilinear Relationship Networks	Jun 6, 2015	Multi-Task Learning	—Unverified	0	0
Learning Multiple Visual Tasks while Discovering their Structure	Apr 13, 2015	DenoisingGeneral Classification	—Unverified	0	0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain	Apr 16, 2024	Chemical ProcessMulti-Task Learning	—Unverified	0	0
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era	Jul 1, 2020	DiversityMulti-Task Learning	—Unverified	0	0

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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