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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 2731–2740 of 3687 papers

Title	Date	Tasks	Status	Hype
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning	Dec 11, 2019	Image Quality AssessmentMulti-Task Learning	—Unverified	0
Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant Landmark Detection for Calcaneal Angle Measurement, Fracture Identification and Fracture Region Segmentation	Dec 10, 2019	Multi-Task LearningSegmentation	—Unverified	0
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN	Dec 10, 2019	Action AnticipationAction Classification	CodeCode Available	0
Adversarial Analysis of Natural Language Inference Systems	Dec 7, 2019	Multi-Task LearningNatural Language Inference	—Unverified	0
What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant	Dec 6, 2019	Multi-Task Learning	—Unverified	0
Regularization Shortcomings for Continual Learning	Dec 6, 2019	Continual LearningMulti-Task Learning	—Unverified	0
A Multi-task Model for Multilingual Trigger Detection and Classification	Dec 1, 2019	ClassificationMulti-Task Learning	—Unverified	0
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer	Dec 1, 2019	AttributeMulti-Task Learning	CodeCode Available	0
Better Transfer Learning with Inferred Successor Maps	Dec 1, 2019	ClusteringHippocampus	—Unverified	0
An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation	Nov 29, 2019	DecoderLanguage Modeling	—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