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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 3321–3330 of 3687 papers

Title	Date	Tasks	Status	Hype
Group Buying Recommendation Model Based on Multi-task Learning	Nov 25, 2022	Multi-Task LearningRepresentation Learning	CodeCode Available	0
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection	Feb 14, 2023	Multi-Task Learning	CodeCode Available	0
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning	Mar 3, 2022	BIG-bench Machine LearningBilevel Optimization	CodeCode Available	0
Nonparametric variable importance using an augmented neural network with multi-task learning	Jul 1, 2018	Multi-Task Learning	CodeCode Available	0
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection	Nov 21, 2021	Anomaly DetectionMulti-Task Learning	CodeCode Available	0
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation	Jul 10, 2025	Multi-Task Learning	CodeCode Available	0
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks	Jun 7, 2023	Multi-Task Learning	CodeCode Available	0
Graph Star Net for Generalized Multi-Task Learning	Jun 21, 2019	ClassificationGeneral Classification	CodeCode Available	0
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5	Oct 31, 2022	Multi-Task LearningNatural Language Inference	CodeCode Available	0
An Attention-based Graph Neural Network for Heterogeneous Structural Learning	Dec 19, 2019	Graph EmbeddingGraph Neural Network	CodeCode Available	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