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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 2171–2180 of 3687 papers

Title	Date	Tasks	Status	Hype
Sliced Multi-Marginal Optimal Transport	Feb 14, 2021	Density EstimationMulti-Task Learning	—Unverified	0
Distillation based Multi-task Learning: A Candidate Generation Model for Improving Reading Duration	Feb 14, 2021	Multi-Task LearningRecommendation Systems	—Unverified	0
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization	Feb 14, 2021	Federated LearningFew-Shot Learning	CodeCode Available	1
Exploiting Shared Representations for Personalized Federated Learning	Feb 14, 2021	Federated LearningMeta-Learning	CodeCode Available	1
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels	Feb 13, 2021	Graph Neural NetworkMulti-Task Learning	—Unverified	0
Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers	Feb 11, 2021	Multi-Task LearningSentence	CodeCode Available	1
An Investigation of End-to-End Models for Robust Speech Recognition	Feb 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Multi-Task Reinforcement Learning with Context-based Representations	Feb 11, 2021	Multi-Task Learningreinforcement-learning	CodeCode Available	1
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis	Feb 9, 2021	Multimodal Sentiment AnalysisMulti-Task Learning	CodeCode Available	1
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification	Feb 7, 2021	ClassificationEEG	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