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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 2011–2020 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network	Feb 22, 2023	ClassificationMulti-Task Learning	—Unverified	0	0
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition	Nov 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	0
MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis	Oct 1, 2021	Aspect Category Sentiment AnalysisMeta-Learning	—Unverified	0	0
A Unified Framework for Structured Low-rank Matrix Learning	Jul 1, 2018	Matrix CompletionMulti-Task Learning	—Unverified	0	0
A Conceptual Framework for Lifelong Learning	Nov 21, 2019	Continual LearningFew-Shot Learning	—Unverified	0	0
Mobility-aware Content Preference Learning in Decentralized Caching Networks	Aug 22, 2019	Multi-Task Learning	—Unverified	0	0
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising	Feb 24, 2022	Multi-Task Learning	—Unverified	0	0
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology	Mar 21, 2025	Multi-Task LearningSelf-Supervised Learning	—Unverified	0	0
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks	Apr 2, 2022	Multi-Task LearningSurvival Analysis	—Unverified	0	0
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance	Mar 6, 2023	Language ModelingLanguage Modelling	—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