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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 3491–3500 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Exceeding the Limits of Visual-Linguistic Multi-Task Learning	Jul 27, 2021	Multi-Task Learning	—Unverified	0	0
Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection	Oct 27, 2015	feature selectionMulti-Task Learning	—Unverified	0	0
Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning	Oct 18, 2023	Compressive SensingFew-Shot Learning	—Unverified	0	0
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images	Aug 9, 2021	Decision MakingMulti-Task Learning	—Unverified	0	0
Explainable Identification of Dementia from Transcripts using Transformer Networks	Sep 14, 2021	Binary ClassificationMulti-Task Learning	—Unverified	0	0
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation	Jun 23, 2018	Comment GenerationMulti-Task Learning	—Unverified	0	0
Affective Behavior Analysis using Task-adaptive and AU-assisted Graph Network	Jul 16, 2024	Action Unit DetectionArousal Estimation	—Unverified	0	0
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval	Apr 11, 2016	Face Image RetrievalImage Retrieval	—Unverified	0	0
Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks	Jul 1, 2022	Multi-Task Learning	—Unverified	0	0
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports	May 6, 2022	Multi-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