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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 1841–1850 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning	Oct 14, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0	0
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant	Sep 18, 2019	Data AugmentationMulti-Task Learning	—Unverified	0	0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation	Nov 5, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	0
Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks	Nov 8, 2024	Multi-Task Learning	—Unverified	0	0
What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant	Dec 6, 2019	Multi-Task Learning	—Unverified	0	0
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge	Aug 18, 2022	Bayesian OptimizationMulti-Task Learning	—Unverified	0	0
LibMTL: A Python Library for Multi-Task Learning	Mar 27, 2022	Multi-Task Learning	—Unverified	0	0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving	Jul 17, 2023	3D Object DetectionAutonomous Driving	—Unverified	0	0
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception	Mar 21, 2023	DecoderMulti-Task Learning	—Unverified	0	0
Lifelong Machine Learning for Topic Modeling and Beyond	Jun 1, 2015	BIG-bench Machine LearningMulti-Task Learning	—Unverified	0	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