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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 1211–1220 of 3687 papers

Title	Date	Tasks	Status	Hype
Découvrir de nouvelles classes dans des données tabulaires	Nov 28, 2022	Multi-Task LearningNovel Class Discovery	CodeCode Available	0
Semisoft Task Clustering for Multi-Task Learning	Nov 28, 2022	ClusteringMulti-Task Learning	—Unverified	0
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning	Nov 28, 2022	Multi-Task LearningRecommendation Systems	—Unverified	0
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding	Nov 28, 2022	Contrastive LearningDecision Making	CodeCode Available	0
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning	Nov 26, 2022	DisentanglementMeta-Learning	CodeCode Available	0
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition	Nov 25, 2022	Contrastive LearningMulti-Task Learning	CodeCode Available	1
Group Buying Recommendation Model Based on Multi-task Learning	Nov 25, 2022	Multi-Task LearningRepresentation Learning	CodeCode Available	0
Multi-Task Learning of Object State Changes from Uncurated Videos	Nov 24, 2022	Multi-Task LearningObject	CodeCode Available	1
Improving Multi-task Learning via Seeking Task-based Flat Regions	Nov 24, 2022	Multi-Task Learningspeech-recognition	—Unverified	0
Unified Multimodal Model with Unlikelihood Training for Visual Dialog	Nov 23, 2022	Answer GenerationChatbot	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