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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 2041–2050 of 3687 papers

Title	Date	Tasks	Status	Hype
Tricks for Training Sparse Translation Models	Oct 15, 2021	Machine TranslationMulti-Task Learning	—Unverified	0
Transformer-based Multi-task Learning for Disaster Tweet Categorisation	Oct 15, 2021	Multi-Task Learning	CodeCode Available	0
Multi-task problems are not multi-objective	Oct 14, 2021	BIG-bench Machine LearningMulti-Task Learning	CodeCode Available	0
Semi-supervised Multi-task Learning for Semantics and Depth	Oct 14, 2021	Depth EstimationMulti-Task Learning	—Unverified	0
Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition	Oct 12, 2021	Action RecognitionMulti-Task Learning	—Unverified	0
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems	Oct 11, 2021	Causal Language ModelingDiversity	—Unverified	0
Multi-task Learning with Metadata for Music Mood Classification	Oct 10, 2021	ClassificationMulti-Task Learning	—Unverified	0
Multi-task learning on the edge: cost-efficiency and theoretical optimality	Oct 9, 2021	Multi-Task Learning	CodeCode Available	0
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments	Oct 8, 2021	AllMulti-Task Learning	—Unverified	0
Generalized Scene Classification from Small-Scale Datasets with Multi-Task Learning	Oct 8, 2021	ClassificationMulti-Task Learning	CodeCode Available	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