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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 1221–1230 of 3687 papers

Title	Date	Tasks	Status	Hype
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning	Nov 22, 2022	ArticlesFake News Detection	—Unverified	0
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies	Nov 22, 2022	Multi-Task Learning	—Unverified	0
Multi-task Learning for Camera Calibration	Nov 22, 2022	3D ReconstructionAutonomous Driving	CodeCode Available	1
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm	Nov 21, 2022	Graph LearningMulti-Task Learning	CodeCode Available	0
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings	Nov 21, 2022	Active LearningMulti-Task Learning	—Unverified	0
Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning	Nov 21, 2022	Hierarchical Multi-label ClassificationLanguage Modeling	CodeCode Available	0
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning	Nov 20, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities	Nov 18, 2022	Computational EfficiencyHumanitarian	CodeCode Available	0
Multi-task Learning for Sparse Traffic Forecasting	Nov 18, 2022	Graph Neural NetworkMulti-Task Learning	CodeCode Available	1
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks	Nov 17, 2022	DecoderLanguage Modelling	CodeCode Available	4

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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