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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 2661–2670 of 3687 papers

Title	Date	Tasks	Status	Hype
Inducing Optimal Attribute Representations for Conditional GANs	Mar 13, 2020	AttributeMulti-Task Learning	—Unverified	0
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds	Mar 11, 2020	Instance SegmentationMulti-Task Learning	CodeCode Available	1
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face	Mar 10, 2020	CaricatureFace Recognition	—Unverified	0
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery	Mar 10, 2020	Multi-Task LearningScene Understanding	CodeCode Available	0
Multi-task Learning Based Neural Bridging Reference Resolution	Mar 7, 2020	coreference-resolutionCoreference Resolution	CodeCode Available	0
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?	Mar 6, 2020	Dependency ParsingFeature Engineering	CodeCode Available	0
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services	Mar 4, 2020	Domain AdaptationMulti-Task Learning	CodeCode Available	0
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition	Mar 3, 2020	Emotion Recognition in ConversationMulti-Task Learning	—Unverified	0
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization	Mar 2, 2020	image-classificationImage Classification	CodeCode Available	0
Hand-Priming in Object Localization for Assistive Egocentric Vision	Feb 28, 2020	Hand SegmentationMulti-Task Learning	—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