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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 2361–2370 of 3687 papers

Title	Date	Tasks	Status	Hype
Leveraging speaker attribute information using multi task learning for speaker verification and diarization	Oct 27, 2020	AttributeMulti-Task Learning	CodeCode Available	1
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting	Oct 27, 2020	Multi-Task Learning	—Unverified	0
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning	Oct 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Byzantine Resilient Distributed Multi-Task Learning	Oct 25, 2020	Multi-Task Learning	CodeCode Available	0
Multi-task Supervised Learning via Cross-learning	Oct 24, 2020	image-classificationImage Classification	—Unverified	0
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation	Oct 24, 2020	Knowledge DistillationMachine Translation	CodeCode Available	1
A Frustratingly Easy Approach for Entity and Relation Extraction	Oct 24, 2020	Joint Entity and Relation ExtractionMulti-Task Learning	CodeCode Available	1
Speech enhancement aided end-to-end multi-task learning for voice activity detection	Oct 23, 2020	Action DetectionActivity Detection	—Unverified	0
Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models	Oct 22, 2020	DenoisingEmotion Classification	CodeCode Available	0
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers	Oct 22, 2020	Multi-Task Learningtext-classification	—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