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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 761–770 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic Characterization	Dec 31, 2021	Gaussian ProcessesL2 Regularization	CodeCode Available	0	5
DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks	Jan 11, 2021	LemmatizationMulti-Task Learning	CodeCode Available	0	5
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning	Nov 27, 2019	Multi-Task LearningSemantic Segmentation	CodeCode Available	0	5
ALUE: Arabic Language Understanding Evaluation	Apr 1, 2021	DiagnosticFairness	CodeCode Available	0	5
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations	Aug 1, 2021	Multi-Task LearningRelation Extraction	CodeCode Available	0	5
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection	Aug 1, 2018	General ClassificationMulti-Task Learning	CodeCode Available	0	5
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks	Oct 9, 2022	DecoderImage Segmentation	CodeCode Available	0	5
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling	Nov 12, 2019	Chinese Semantic Role LabelingMulti-Task Learning	CodeCode Available	0	5
Imbalanced multi-label classification using multi-task learning with extractive summarization	Mar 16, 2019	ClassificationExtractive Summarization	CodeCode Available	0	5
Data Fusion for Multi-Task Learning of Building Extraction and Height Estimation	Aug 5, 2023	Multi-Task Learning	CodeCode Available	0	5

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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