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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 1391–1400 of 3687 papers

Title	Date	Tasks	Status	Hype
Forecasting Smog Clouds With Deep Learning	Oct 3, 2024	Deep LearningMulti-Task Learning	—Unverified	0
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction	Aug 19, 2019	Fact CheckingMulti-Task Learning	—Unverified	0
Forecasting battery capacity and power degradation with multi-task learning	Nov 29, 2021	Multi-Task Learning	—Unverified	0
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model	Dec 22, 2023	Food RecognitionMulti-Task Learning	—Unverified	0
HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing	Jun 1, 2019	General ClassificationMulti-Task Learning	—Unverified	0
Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms	Mar 16, 2023	Multi-Task LearningSpeech Enhancement	—Unverified	0
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning	Jun 28, 2021	Multi-Task LearningPrediction	—Unverified	0
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection	Aug 1, 2021	MisinformationMulti-Task Learning	—Unverified	0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations	May 7, 2022	Explainable ModelsKnowledge Distillation	—Unverified	0
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network	Mar 9, 2022	DeblurringMulti-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