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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 1001–1010 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling	Apr 30, 2021	ClassificationGeneral Classification	CodeCode Available	0	5
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation	Oct 21, 2021	Domain AdaptationMulti-Task Learning	CodeCode Available	0	5
A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs	Sep 17, 2024	Multi-Task Learning	CodeCode Available	0	5
Continual and Multi-Task Architecture Search	Jun 12, 2019	Continual LearningGeneral Classification	CodeCode Available	0	5
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency	Nov 5, 2019	Definition ExtractionMulti-Task Learning	CodeCode Available	0	5
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection	Mar 27, 2022	DiagnosticHate Speech Detection	CodeCode Available	0	5
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks	Jan 7, 2021	General ClassificationImage Classification	CodeCode Available	0	5
Helping Visually Impaired People Take Better Quality Pictures	May 14, 2023	Multi-Task Learning	CodeCode Available	0	5
HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots	Jan 29, 2023	Multi-Task LearningQuestion Answering	CodeCode Available	0	5
Context-aware Multi-task Learning for Pedestrian Intent and Trajectory Prediction	Jul 24, 2024	Autonomous VehiclesMulti-Task Learning	CodeCode Available	0	5

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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