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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 3601–3610 of 3687 papers

Title	Date	Tasks	Status	Hype
Learning Representations for Text-level Discourse Parsing	Jul 1, 2015	Discourse ParsingLemmatization	—Unverified	0
Matrix and Tensor Factorization Methods for Natural Language Processing	Jul 1, 2015	Dependency ParsingKnowledge Base Population	—Unverified	0
Baidu Translate: Research and Products	Jul 1, 2015	Machine TranslationMulti-Task Learning	—Unverified	0
Question Answering over Freebase with Multi-Column Convolutional Neural Networks	Jul 1, 2015	Multi-Task LearningQuestion Answering	—Unverified	0
A Refined End-to-End Discourse Parser	Jul 1, 2015	Auxiliary LearningInformation Retrieval	—Unverified	0
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis	Jun 30, 2015	Multi-Task Learning	—Unverified	0
Learning Multiple Tasks with Multilinear Relationship Networks	Jun 6, 2015	Multi-Task Learning	—Unverified	0
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition	Jun 1, 2015	Action RecognitionGeneral Classification	—Unverified	0
Lifelong Machine Learning for Topic Modeling and Beyond	Jun 1, 2015	BIG-bench Machine LearningMulti-Task Learning	—Unverified	0
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection	Jun 1, 2015	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