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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 3121–3130 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction	Jul 1, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0	0
Sparse Bayesian Multi-Task Learning	Dec 1, 2011	ClassificationGeneral Classification	—Unverified	0	0
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity	Aug 1, 2017	Multi-Task Learningparameter estimation	—Unverified	0	0
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners	Jan 16, 2022	Mixture-of-ExpertsMulti-Task Learning	—Unverified	0	0
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners	Apr 16, 2022	Mixture-of-ExpertsMulti-Task Learning	—Unverified	0	0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction	Sep 18, 2023	Boundary DetectionMulti-Task Learning	—Unverified	0	0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis	Apr 1, 2024	Anomaly DetectionDictionary Learning	—Unverified	0	0
Decentralized Collaborative Learning with Probabilistic Data Protection	Aug 23, 2022	DiversityMulti-Task Learning	—Unverified	0	0
Decentralized Multi-Task Learning Based on Extreme Learning Machines	Apr 25, 2019	Multi-Task Learning	—Unverified	0	0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data	Nov 1, 2016	Feature EngineeringGeneral Classification	—Unverified	0	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