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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 3191–3200 of 3687 papers

Title	Date	Tasks	Status	Hype
Learning to Recommend with Multiple Cascading Behaviors	Sep 21, 2018	Multi-Task LearningRecommendation Systems	—Unverified	0
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation	Sep 18, 2018	ClassificationGeneral Classification	CodeCode Available	0
Model-Protected Multi-Task Learning	Sep 18, 2018	modelMulti-Task Learning	CodeCode Available	0
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension	Sep 18, 2018	Machine Reading ComprehensionMachine Translation	CodeCode Available	0
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks	Sep 17, 2018	Drug DiscoveryMulti-Task Learning	—Unverified	0
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering	Sep 15, 2018	ClusteringMulti-Task Learning	—Unverified	0
Multi-task Deep Reinforcement Learning with PopArt	Sep 12, 2018	Atari GamesDeep Reinforcement Learning	CodeCode Available	0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training	Sep 12, 2018	Abusive LanguageClassification	CodeCode Available	0
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat	Sep 10, 2018	Multi-Task LearningReinforcement Learning	CodeCode Available	0
Multi-Target Prediction: A Unifying View on Problems and Methods	Sep 7, 2018	Matrix CompletionMulti-Label Classification	—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