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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 3651–3660 of 3687 papers

Title	Date	Tasks	Status	Hype
Multi-task Learning for Low-resource Second Language Acquisition Modeling	Aug 25, 2019	Language AcquisitionMulti-Task Learning	CodeCode Available	0
Private Multi-Task Learning: Formulation and Applications to Federated Learning	Aug 30, 2021	BIG-bench Machine LearningDistributed Optimization	CodeCode Available	0
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension	Sep 18, 2018	Machine Reading ComprehensionMachine Translation	CodeCode Available	0
Solving Label Variation in Scientific Information Extraction via Multi-Task Learning	Dec 25, 2023	Multi-Task Learning	CodeCode Available	0
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning	Jan 20, 2020	Image Quality AssessmentMulti-Task Learning	CodeCode Available	0
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms	Oct 19, 2023	Meta-LearningMulti-Task Learning	CodeCode Available	0
Evolutionary Multi-Task Injection Testing on Web Application Firewalls	Jun 12, 2022	Multi-Task LearningTranslation	CodeCode Available	0
Multi-task Learning for Monocular Depth and Defocus Estimations with Real Images	Aug 21, 2022	Defocus EstimationDepth Estimation	CodeCode Available	0
CatVRNN: Generating Category Texts via Multi-task Learning	Jul 12, 2021	DiversityMulti-Task Learning	CodeCode Available	0
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders	Sep 14, 2021	Multi-Task LearningNER	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