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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 3471–3480 of 3687 papers

Title	Date	Tasks	Status	Hype
Federated Multi-Task Learning	May 30, 2017	BIG-bench Machine LearningFederated Learning	CodeCode Available	0
Joint auto-encoders: a flexible multi-task learning framework	May 30, 2017	Domain AdaptationMulti-Task Learning	—Unverified	0
Deep Learning for Patient-Specific Kidney Graft Survival Analysis	May 29, 2017	Decision MakingDeep Learning	CodeCode Available	0
Multi-Task Learning for Contextual Bandits	May 24, 2017	Multi-Armed BanditsMulti-Task Learning	—Unverified	0
Latent Multi-task Architecture Learning	May 23, 2017	Multi-Task Learning	CodeCode Available	0
One Shot Joint Colocalization and Cosegmentation	May 17, 2017	ClusteringMulti-Task Learning	—Unverified	0
Will my auxiliary tagging task help? Estimating Auxiliary Tasks Effectivity in Multi-Task Learning	May 1, 2017	Multi-Task Learning	—Unverified	0
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning	Apr 28, 2017	Lung Cancer DiagnosisMulti-Task Learning	—Unverified	0
Multi-Task Video Captioning with Video and Entailment Generation	Apr 24, 2017	DecoderMulti-Task Learning	—Unverified	0
Structured low-rank matrix learning: algorithms and applications	Apr 24, 2017	Matrix CompletionMulti-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