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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 1101–1110 of 3687 papers

Title	Date	Tasks	Status	Hype
Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images	Mar 2, 2023	Multi-Task Learning	CodeCode Available	0
Artificial Intelligence for Dementia Research Methods Optimization	Mar 2, 2023	Multi-Task LearningTransfer Learning	—Unverified	0
Multi-Task Self-Supervised Time-Series Representation Learning	Mar 2, 2023	Anomaly DetectionContrastive Learning	—Unverified	0
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation	Mar 1, 2023	Ensemble LearningMulti-Task Learning	—Unverified	0
Multi-task neural networks by learned contextual inputs	Mar 1, 2023	Multi-Task Learning	—Unverified	0
Image-Based and Partially Categorical Annotating Approach for Pedestrian Attribute Recognition	Feb 28, 2023	AttributeMulti-Task Learning	CodeCode Available	1
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection	Feb 27, 2023	Multi-Task LearningTransfer Learning	—Unverified	0
Scalable Attribution of Adversarial Attacks via Multi-Task Learning	Feb 25, 2023	Multi-Task Learning	—Unverified	0
TUTORING: Instruction-Grounded Conversational Agent for Language Learners	Feb 24, 2023	ChatbotMulti-Task Learning	—Unverified	0
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement	Feb 23, 2023	Multi-Task LearningSpeech Enhancement	—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