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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 3021–3030 of 3687 papers

Title	Date	Tasks	Status	Hype
TENSOR RING NETS ADAPTED DEEP MULTI-TASK LEARNING	May 1, 2019	Multi-Task Learning	—Unverified	0
Routing Networks and the Challenges of Modular and Compositional Computation	Apr 29, 2019	Language ModelingLanguage Modelling	CodeCode Available	0
Decentralized Multi-Task Learning Based on Extreme Learning Machines	Apr 25, 2019	Multi-Task Learning	—Unverified	0
Large Scale Holistic Video Understanding	Apr 25, 2019	Action ClassificationAction Recognition	CodeCode Available	1
DynamoNet: Dynamic Action and Motion Network	Apr 25, 2019	Action RecognitionClassification	—Unverified	0
Multi-Task Learning for Argumentation Mining	Apr 23, 2019	Grapheme-to-Phoneme ConversionMulti-Task Learning	—Unverified	0
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding	Apr 20, 2019	Ensemble LearningKnowledge Distillation	—Unverified	0
Unifying Question Answering, Text Classification, and Regression via Span Extraction	Apr 19, 2019	ClassificationGeneral Classification	—Unverified	0
On Low-rank Trace Regression under General Sampling Distribution	Apr 18, 2019	Matrix CompletionMulti-Task Learning	CodeCode Available	0
Multi-task Learning for Influence Estimation and Maximization	Apr 18, 2019	Multi-Task LearningRepresentation Learning	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