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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 1181–1190 of 3687 papers

Title	Date	Tasks	Status	Hype
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning	Dec 21, 2022	Action RecognitionContrastive Learning	—Unverified	0
Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs	Dec 21, 2022	Federated LearningMulti-Task Learning	—Unverified	0
Positive-incentive Noise	Dec 19, 2022	Multi-Task Learning	—Unverified	0
Dataless Knowledge Fusion by Merging Weights of Language Models	Dec 19, 2022	Multi-Task Learning	CodeCode Available	1
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations	Dec 17, 2022	DecoderMulti-Task Learning	—Unverified	0
Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives	Dec 16, 2022	Multi-Task LearningVariable Selection	CodeCode Available	0
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks	Dec 16, 2022	Federated LearningFew-Shot Learning	—Unverified	0
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners	Dec 15, 2022	Mixture-of-ExpertsMulti-Task Learning	—Unverified	0
Hierarchical Over-the-Air FedGradNorm	Dec 14, 2022	Federated LearningMulti-Task Learning	—Unverified	0
Multi-task Learning for Cross-Lingual Sentiment Analysis	Dec 14, 2022	ArticlesFew-Shot Learning	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