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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 3591–3600 of 3687 papers

Title	Date	Tasks	Status	Hype
Distributed Multitask Learning	Oct 2, 2015	Multi-Task Learning	—Unverified	0
Deep Multi-task Learning for Railway Track Inspection	Sep 17, 2015	Multi-Task Learning	—Unverified	0
DenseBox: Unifying Landmark Localization with End to End Object Detection	Sep 16, 2015	Face DetectionMulti-Task Learning	CodeCode Available	0
Optimal percentage of inhibitory synapses in multi-task learning	Aug 24, 2015	Multi-Task Learning	—Unverified	0
Multi-Task Learning with Group-Specific Feature Space Sharing	Aug 13, 2015	Binary ClassificationMulti-Task Learning	CodeCode Available	0
Online Domain Adaptation for Multi-Object Tracking	Aug 4, 2015	Domain AdaptationMulti-Object Tracking	—Unverified	0
Regularized Multi-Task Learning for Multi-Dimensional Log-Density Gradient Estimation	Aug 1, 2015	ClusteringDensity Estimation	—Unverified	0
Learning Answer-Entailing Structures for Machine Comprehension	Jul 1, 2015	Multi-Task LearningQuestion Answering	—Unverified	0
Multi-Task Learning for Multiple Language Translation	Jul 1, 2015	Machine TranslationMulti-Task Learning	—Unverified	0
Point Process Modelling of Rumour Dynamics in Social Media	Jul 1, 2015	EpidemiologyMulti-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