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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 2951–2960 of 3687 papers

Title	Date	Tasks	Status	Hype
Semi-supervised Domain Adaptation for Dependency Parsing	Jul 1, 2019	Chinese Dependency ParsingDependency Parsing	CodeCode Available	0
Soft Representation Learning for Sparse Transfer	Jul 1, 2019	Multi-Task LearningRepresentation Learning	—Unverified	0
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment	Jul 1, 2019	Document ClassificationMulti-Task Learning	—Unverified	0
Detecting Concealed Information in Text and Speech	Jul 1, 2019	Deception DetectionMulti-Task Learning	—Unverified	0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning	Jul 1, 2019	Multi-Task LearningStance Classification	—Unverified	0
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task	Jul 1, 2019	Multi-Task LearningText Categorization	CodeCode Available	0
Incorporating Linguistic Constraints into Keyphrase Generation	Jul 1, 2019	Keyphrase GenerationMulti-Task Learning	—Unverified	0
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings	Jul 1, 2019	Multi-Task LearningTransfer Learning	—Unverified	0
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder	Jun 28, 2019	Chinese Word SegmentationMulti-Task Learning	CodeCode Available	0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data	Jun 28, 2019	Anomaly DetectionMulti-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