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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 1121–1130 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Group Buying Recommendation Model Based on Multi-task Learning	Nov 25, 2022	Multi-Task LearningRepresentation Learning	CodeCode Available	0	5
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization	Dec 14, 2018	Medical Named Entity RecognitionMulti-Task Learning	CodeCode Available	0	5
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints	Oct 4, 2019	ClusteringFederated Learning	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
A neural network multi-task learning approach to biomedical named entity recognition	Aug 15, 2017	AnatomyMulti-Task Learning	CodeCode Available	0	5
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study	Jan 21, 2023	Image CaptioningInformativeness	CodeCode Available	0	5
Exploring the Syntactic Abilities of RNNs with Multi-task Learning	Jun 12, 2017	CCG SupertaggingLanguage Modeling	CodeCode Available	0	5
Identification of Distorted RF Components via Deep Multi-Task Learning	Jul 4, 2022	Multi-Task Learning	CodeCode Available	0	5
Cluster-Specific Predictions with Multi-Task Gaussian Processes	Nov 16, 2020	ClusteringGaussian Processes	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