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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 3161–3170 of 3687 papers

Title	Date	Tasks	Status	Hype
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving	Oct 30, 2018	Autonomous DrivingDeep Learning	CodeCode Available	0
Multi-label Multi-task Deep Learning for Behavioral Coding	Oct 29, 2018	Deep LearningMulti-Task Learning	—Unverified	0
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning	Oct 25, 2018	image-classificationImage Classification	—Unverified	0
Meta-Learning Multi-task Communication	Oct 23, 2018	Inductive BiasMeta-Learning	—Unverified	0
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging	Oct 23, 2018	General ClassificationManagement	—Unverified	0
Improving label efficiency through multi-task learning on auditory data	Oct 22, 2018	Data AugmentationMulti-Task Learning	—Unverified	0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition	Oct 22, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Exploring Correlations in Multiple Facial Attributes through Graph Attention Network	Oct 22, 2018	AttributeGraph Attention	CodeCode Available	0
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data	Oct 22, 2018	Multi-Task LearningPrognosis	—Unverified	0
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection	Oct 18, 2018	Font RecognitionMulti-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