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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 971–980 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative	May 17, 2019	Multi-Task LearningPrediction	CodeCode Available	0	5
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites	Sep 1, 2022	Multi-Task Learning	CodeCode Available	0	5
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach	Jun 11, 2025	Community DetectionFairness	CodeCode Available	0	5
Hierarchical Multi-task learning framework for Isometric-Speech Language Translation	May 1, 2022	Machine TranslationMulti-Task Learning	CodeCode Available	0	5
Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task	Oct 8, 2022	Multi-Task LearningTranslation	CodeCode Available	0	5
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning	Sep 21, 2016	DecoderMulti-Task Learning	CodeCode Available	0	5
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators	Nov 11, 2022	DecoderMachine Translation	CodeCode Available	0	5
PMGDA: A Preference-based Multiple Gradient Descent Algorithm	Feb 14, 2024	Multi-Objective Reinforcement LearningMulti-Task Learning	CodeCode Available	0	5
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery	Mar 10, 2020	Multi-Task LearningScene Understanding	CodeCode Available	0	5
Helping Visually Impaired People Take Better Quality Pictures	May 14, 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