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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 581–590 of 3687 papers

Title	Date	Tasks	Status	Hype
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share	Jun 1, 2014	AttributeMulti-Task Learning	—Unverified	0
Bringing Semantic Structures to User Intent Detection in Online Medical Queries	Oct 22, 2017	Intent DetectionMulti-Task Learning	—Unverified	0
Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement	Aug 6, 2023	ColorizationImage Colorization	—Unverified	0
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification	Jul 28, 2023	AnatomyMulti-Task Learning	—Unverified	0
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation	Sep 17, 2019	Multi-Task LearningTranslation	—Unverified	0
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling	Jan 6, 2022	Aerial Scene ClassificationBenchmarking	—Unverified	0
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks	Feb 22, 2018	ManagementMulti-Task Learning	—Unverified	0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing	Mar 28, 2022	Edge DetectionFace Parsing	—Unverified	0
Bridging Resolution: Making Sense of the State of the Art	Jun 1, 2021	Bridging Anaphora ResolutionMulti-Task Learning	—Unverified	0
Anaphora Resolution in Dialogue: System Description (CODI-CRAC 2022 Shared Task)	Jan 5, 2023	ClusteringMulti-Task Learning	—Unverified	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