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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 1421–1430 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments	Nov 21, 2020	Meta-LearningMeta Reinforcement Learning	—Unverified	0	0
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification	Apr 1, 2021	Language IdentificationMulti-Task Learning	—Unverified	0	0
Domain Generalization for In-Orbit 6D Pose Estimation	Jun 17, 2024	6D Pose EstimationData Augmentation	—Unverified	0	0
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification	Jun 23, 2021	Language IdentificationMulti-Task Learning	—Unverified	0	0
A Multi-task Model for Multilingual Trigger Detection and Classification	Dec 1, 2019	ClassificationMulti-Task Learning	—Unverified	0	0
Adversarial Inductive Transfer Learning with input and output space adaptation	Sep 25, 2019	Domain AdaptationMulti-Task Learning	—Unverified	0	0
Domain Adversarial Training for Accented Speech Recognition	Jun 7, 2018	Accented Speech RecognitionMulti-Task Learning	—Unverified	0	0
Domain Adversarial Neural Networks for Dysarthric Speech Recognition	Oct 7, 2020	Multi-Task Learningspeech-recognition	—Unverified	0	0
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding	Apr 1, 2016	Domain AdaptationMulti-Task Learning	—Unverified	0	0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues	Aug 10, 2022	BenchmarkingDeepFake Detection	—Unverified	0	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