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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 1151–1160 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization	Aug 4, 2020	DiagnosticMulti-Task Learning	CodeCode Available	0	5
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models	Dec 7, 2023	Multi-Task LearningPassage Retrieval	CodeCode Available	0	5
Identifying beneficial task relations for multi-task learning in deep neural networks	Feb 27, 2017	Multi-Task Learning	CodeCode Available	0	5
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity	Sep 5, 2019	Language ModelingLanguage Modelling	CodeCode Available	0	5
ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing	Oct 13, 2024	Change DetectionMulti-Task Learning	CodeCode Available	0	5
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound	Aug 21, 2019	AnatomyDisentanglement	CodeCode Available	0	5
Co-evolutionary multi-task learning for dynamic time series prediction	Feb 27, 2017	Evolutionary AlgorithmsMulti-Task Learning	CodeCode Available	0	5
Evolutionary Multi-Task Injection Testing on Web Application Firewalls	Jun 12, 2022	Multi-Task LearningTranslation	CodeCode Available	0	5
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders	Nov 14, 2023	Language ModellingMulti-Task Learning	CodeCode Available	0	5
Graph Neural Networks for Surfactant Multi-Property Prediction	Jan 3, 2024	Ensemble LearningMulti-Task Learning	CodeCode Available	0	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