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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 1291–1300 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
An Attention-Driven Approach of No-Reference Image Quality Assessment	Dec 12, 2016	Image Quality AssessmentMulti-Task Learning	—Unverified	0	0
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning	Aug 1, 2018	Emotion Detection and ClassificationGeneral Classification	—Unverified	0	0
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators	Jan 8, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	0
Aerodynamic Data Predictions Based on Multi-task Learning	Oct 15, 2020	Multi-Task Learning	—Unverified	0	0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems	Apr 29, 2020	Multi-Task Learningregression	—Unverified	0	0
Bringing Semantic Structures to User Intent Detection in Online Medical Queries	Oct 22, 2017	Intent DetectionMulti-Task Learning	—Unverified	0	0
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation	Mar 23, 2021	Auxiliary LearningDomain Adaptation	—Unverified	0	0
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event	Aug 1, 2021	Multi-Task Learning	—Unverified	0	0
Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement	Aug 6, 2023	ColorizationImage Colorization	—Unverified	0	0
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification	Jul 28, 2023	AnatomyMulti-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