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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 551–560 of 3687 papers

Title	Date	Tasks	Status	Hype
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning	Jan 1, 2024	DecoderFederated Learning	CodeCode Available	1
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization	Feb 14, 2021	Federated LearningFew-Shot Learning	CodeCode Available	1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation	May 31, 2022	Deep LearningMulti-Task Learning	CodeCode Available	1
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis	Aug 10, 2023	Malware AnalysisMulti-Task Learning	CodeCode Available	1
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks	Nov 10, 2023	DiversityMulti-Task Learning	CodeCode Available	1
Forgetting to learn logic programs	Nov 15, 2019	Inductive logic programmingMulti-Task Learning	CodeCode Available	1
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning	Jul 4, 2022	AttributeContrastive Learning	CodeCode Available	1
GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning	Oct 30, 2023	AttributeMulti-Task Learning	CodeCode Available	1
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework	Oct 14, 2024	Data SummarizationMulti-Task Learning	CodeCode Available	1
Exploiting Learnable Joint Groups for Hand Pose Estimation	Dec 17, 2020	Hand Pose EstimationMulti-Task Learning	CodeCode Available	1

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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