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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 721–730 of 3687 papers

Title	Date	Tasks	Status	Hype
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis	Dec 3, 2024	Aspect-Based Sentiment AnalysisIn-Context Learning	—Unverified	0
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes	Sep 15, 2021	Multi-Task Learningregression	—Unverified	0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings	Apr 1, 2015	Information RetrievalMachine Translation	—Unverified	0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization	Oct 27, 2021	Multi-Task Learning	—Unverified	0
Automatic Expert Selection for Multi-Scenario and Multi-Task Search	May 28, 2022	Mixture-of-ExpertsMulti-Task Learning	—Unverified	0
A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition	Apr 17, 2025	Multi-Task Learning	—Unverified	0
A Comparison of Character Neural Language Model and Bootstrapping for Language Identification in Multilingual Noisy Texts	Jun 1, 2018	Language IdentificationLanguage Modeling	—Unverified	0
Automatic CAD-RADS Scoring Using Deep Learning	Oct 5, 2020	Decision MakingDeep Learning	—Unverified	0
Automatically Scoring Freshman Writing: A Preliminary Investigation	Jun 1, 2015	Multi-Task Learning	—Unverified	0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition	Nov 1, 2017	Cross-Lingual TransferMulti-Task Learning	—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