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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 291–300 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1	5
Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need	Dec 1, 2020	AllMulti-Task Learning	CodeCode Available	1	5
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding	Aug 1, 2021	Data AugmentationDecoder	CodeCode Available	1	5
Annotating Columns with Pre-trained Language Models	Apr 5, 2021	Columns Property AnnotationColumn Type Annotation	CodeCode Available	1	5
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses	Sep 12, 2019	AttributeLung Cancer Diagnosis	CodeCode Available	1	5
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments	Dec 31, 2021	Continual LearningDeep Learning	CodeCode Available	1	5
Flexible Style Image Super-Resolution using Conditional Objective	Jan 13, 2022	Image Super-ResolutionMulti-Task Learning	CodeCode Available	1	5
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning	Nov 15, 2020	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1	5
End-to-End Multi-Task Learning with Attention	Mar 28, 2018	image-classificationMulti-Task Learning	CodeCode Available	1	5
AdaMerging: Adaptive Model Merging for Multi-Task Learning	Oct 4, 2023	modelMulti-Task Learning	CodeCode Available	1	5

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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