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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 1231–1240 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
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	5
CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks	Aug 9, 2023	Deep LearningMulti-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
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm	Nov 21, 2022	Graph LearningMulti-Task Learning	CodeCode Available	0	5
Enhancing Criminal Case Matching through Diverse Legal Factors	Jun 17, 2024	Multi-Task Learning	CodeCode Available	0	5
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding	Oct 12, 2022	Multi-Task LearningTransfer Learning	CodeCode Available	0	5
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing	Mar 20, 2023	Data AugmentationFine-Grained Image Classification	CodeCode Available	0	5
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications	May 5, 2020	Drift Detectionfeature selection	CodeCode Available	0	5
Graph-based Knowledge Distillation by Multi-head Attention Network	Jul 4, 2019	Inductive BiasKnowledge Distillation	CodeCode Available	0	5
Graph Star Net for Generalized Multi-Task Learning	Jun 21, 2019	ClassificationGeneral Classification	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