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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 831–840 of 3687 papers

Title	Date	Tasks	Status	Hype
BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation	Sep 25, 2023	DisentanglementKeypoint Estimation	CodeCode Available	1
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN	Sep 22, 2023	Lesion DetectionMulti-Task Learning	—Unverified	0
High-order Joint Constituency and Dependency Parsing	Sep 21, 2023	Dependency ParsingMulti-Task Learning	CodeCode Available	0
Multi-Task Cooperative Learning via Searching for Flat Minima	Sep 21, 2023	Medical Image AnalysisMulti-Task Learning	—Unverified	0
A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose	Sep 21, 2023	Face DetectionFacial Landmark Detection	—Unverified	0
Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization	Sep 20, 2023	coreference-resolutionCoreference Resolution	CodeCode Available	0
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach	Sep 20, 2023	Machine Reading ComprehensionMulti-Task Learning	CodeCode Available	0
Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning	Sep 19, 2023	Multi-Task LearningRecommendation Systems	—Unverified	0
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning	Sep 19, 2023	Face VerificationFairness	CodeCode Available	0
Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using Whisper and Metadata	Sep 18, 2023	Multi-Task LearningPrediction	—Unverified	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