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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 1221–1230 of 3687 papers

Title	Date	Tasks	Status	Hype
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning	Apr 5, 2022	Adversarial AttackAdversarial Robustness	—Unverified	0
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning	Apr 2, 2024	Drug DiscoveryGraph Neural Network	—Unverified	0
A Key-Driven Framework for Identity-Preserving Face Anonymization	Sep 5, 2024	Face AnonymizationFace Generation	—Unverified	0
Continual Robot Learning using Self-Supervised Task Inference	Sep 10, 2023	Continual LearningMulti-Task Learning	—Unverified	0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation	Jul 1, 2018	Inductive BiasLow Resource Neural Machine Translation	—Unverified	0
A Personal Privacy Preserving Framework: I Let You Know Who Can See What	Jul 8, 2018	DescriptiveMulti-Task Learning	—Unverified	0
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning	Oct 11, 2023	Decision MakingImitation Learning	—Unverified	0
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification	Mar 5, 2021	Face VerificationMulti-Task Learning	—Unverified	0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles	Apr 3, 2020	Autonomous VehiclesMulti-Task Learning	—Unverified	0
Accelerating Real-Time Question Answering via Question Generation	Sep 10, 2020	Data AugmentationMulti-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