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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 3241–3250 of 3687 papers

Title	Date	Tasks	Status	Hype
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data	Jul 31, 2018	Anomaly DetectionMulti-Task Learning	—Unverified	0
AXNet: ApproXimate computing using an end-to-end trainable neural network	Jul 27, 2018	Multi-Task LearningPhilosophy	CodeCode Available	0
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency	Jul 27, 2018	Multi-Task Learning	—Unverified	0
Concurrent Learning of Semantic Relations	Jul 26, 2018	Multi-Task LearningRelation	CodeCode Available	0
Person re-identification across different datasets with multi-task learning	Jul 25, 2018	Multi-Task LearningPerson Re-Identification	—Unverified	0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts	Jul 19, 2018	Binary ClassificationClick-Through Rate Prediction	CodeCode Available	0
Hierarchical Multi Task Learning With CTC	Jul 18, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
A Modulation Module for Multi-task Learning with Applications in Image Retrieval	Jul 17, 2018	Image RetrievalMulti-Task Learning	CodeCode Available	0
Neural Chinese Word Segmentation with Dictionary Knowledge	Jul 11, 2018	Chinese Word SegmentationMulti-Task Learning	—Unverified	0
Kernel-Based Learning for Smart Inverter Control	Jul 10, 2018	Multi-Task Learning	—Unverified	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