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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 1421–1430 of 3687 papers

Title	Date	Tasks	Status	Hype
Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning	Jul 1, 2022	Multi-Task Learning	CodeCode Available	0
Multi-Task Learning to Capture Changes in Mood Over Time	Jul 1, 2022	Ensemble LearningMulti-Task Learning	—Unverified	0
Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks	Jul 1, 2022	Multi-Task Learning	—Unverified	0
Event Causality Identification via Generation of Important Context Words	Jul 1, 2022	Event Causality IdentificationMulti-Task Learning	CodeCode Available	0
An Understanding-Oriented Robust Machine Reading Comprehension Model	Jul 1, 2022	Machine Reading Comprehensionmodel	CodeCode Available	0
End-to-end cell recognition by point annotation	Jul 1, 2022	Cell DetectionMulti-Task Learning	—Unverified	0
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing	Jun 30, 2022	DiversityLanguage Model Evaluation	CodeCode Available	2
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View	Jun 29, 2022	Image SegmentationMulti-Task Learning	CodeCode Available	0
Personalized Keyword Spotting through Multi-task Learning	Jun 28, 2022	Keyword SpottingMulti-Task Learning	—Unverified	0
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework	Jun 27, 2022	Acoustic Scene ClassificationMulti-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