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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 2641–2650 of 3687 papers

Title	Date	Tasks	Status	Hype
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection	Apr 2, 2020	Action DetectionActivity Detection	—Unverified	0
Adversarial Transfer Learning for Punctuation Restoration	Apr 1, 2020	Language ModelingLanguage Modelling	—Unverified	0
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning	Mar 31, 2020	Multi-Task LearningNeural Architecture Search	CodeCode Available	1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19	Mar 30, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1
Multi-Task Reinforcement Learning with Soft Modularization	Mar 30, 2020	Meta-LearningMulti-Task Learning	CodeCode Available	1
Improving out-of-distribution generalization via multi-task self-supervised pretraining	Mar 30, 2020	Adversarial RobustnessDomain Generalization	—Unverified	0
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking	Mar 25, 2020	Metric LearningMulti-Object Tracking	CodeCode Available	1
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning	Mar 24, 2020	ClassificationGeneral Classification	—Unverified	0
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent	Mar 23, 2020	Multi-Task Learning	CodeCode Available	0
Multi-Task Learning Enhanced Single Image De-Raining	Mar 21, 2020	Multi-Task LearningRain Removal	CodeCode Available	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