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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 1681–1690 of 3687 papers

Title	Date	Tasks	Status	Hype
In Defense of the Unitary Scalarization for Deep Multi-Task Learning	Jan 11, 2022	Multi-Task LearningReinforcement Learning (RL)	CodeCode Available	1
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection	Jan 10, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
MaskMTL: Attribute prediction in masked facial images with deep multitask learning	Jan 9, 2022	AttributeMulti-Task Learning	CodeCode Available	0
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic	Jan 9, 2022	ArticlesMulti-Task Learning	—Unverified	0
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task	Jan 7, 2022	Multi-Task Learning	—Unverified	0
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling	Jan 6, 2022	Aerial Scene ClassificationBenchmarking	—Unverified	0
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method	Jan 1, 2022	Multi-Task LearningSaliency Prediction	CodeCode Available	1
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller	Jan 1, 2022	Multi-Task Learning	CodeCode Available	1
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints	Dec 31, 2021	3D Lane DetectionAutonomous Vehicles	CodeCode Available	1
How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic Characterization	Dec 31, 2021	Gaussian ProcessesL2 Regularization	CodeCode Available	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