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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 2391–2400 of 3687 papers

Title	Date	Tasks	Status	Hype
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models	Oct 12, 2020	Machine TranslationMulti-Task Learning	CodeCode Available	1
fairseq S2T: Fast Speech-to-Text Modeling with fairseq	Oct 11, 2020	Machine TranslationMulti-Task Learning	CodeCode Available	0
Deep Multi-Task Learning for SSVEP Detection and Visual Response Mapping	Oct 10, 2020	Electroencephalogram (EEG)Multi-Task Learning	CodeCode Available	1
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments	Oct 10, 2020	Dialect IdentificationLanguage Modeling	CodeCode Available	1
Audio-Visual Speech Inpainting with Deep Learning	Oct 9, 2020	Deep LearningMulti-Task Learning	—Unverified	0
Age and Gender Prediction From Face Images Using Attentional Convolutional Network	Oct 8, 2020	Gender PredictionMulti-Task Learning	—Unverified	0
Learning the Pareto Front with Hypernetworks	Oct 8, 2020	FairnessMultiobjective Optimization	CodeCode Available	1
Domain Adversarial Neural Networks for Dysarthric Speech Recognition	Oct 7, 2020	Multi-Task Learningspeech-recognition	—Unverified	0
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling	Oct 6, 2020	Intrusion DetectionMulti-Task Learning	—Unverified	0
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation	Oct 6, 2020	Depth EstimationInstance Segmentation	—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