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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 1411–1420 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting	Oct 27, 2020	Multi-Task Learning	—Unverified	0	0
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation	Feb 22, 2023	Multi-Task Learning	—Unverified	0	0
Better Transfer Learning with Inferred Successor Maps	Dec 1, 2019	ClusteringHippocampus	—Unverified	0	0
A Multi-Task Self-Normalizing 3D-CNN to Infer Tuberculosis Radiological Manifestations	Jul 29, 2019	Multi-class ClassificationMulti-Task Learning	—Unverified	0	0
A convex optimization formulation for multivariate regression	Dec 1, 2020	Multi-Task Learningregression	—Unverified	0	0
A Bag of Tricks for Dialogue Summarization	Sep 16, 2021	ArticlesLanguage Modeling	—Unverified	0	0
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation	Mar 10, 2018	Autonomous DrivingDepth Estimation	—Unverified	0	0
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets	Mar 8, 2023	feature selectionMulti-Task Learning	—Unverified	0	0
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain	Jun 11, 2019	Multi-Task LearningNatural Language Understanding	—Unverified	0	0
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions	Dec 31, 2023	Emotion RecognitionMulti-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