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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 2611–2620 of 3687 papers

Title	Date	Tasks	Status	Hype
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks	Apr 27, 2020	Decision MakingDeep Learning	—Unverified	0
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization	Apr 26, 2020	ClassificationGeneral Classification	CodeCode Available	1
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology	Apr 25, 2020	Dependency ParsingMulti-Task Learning	—Unverified	0
Learning Gaussian Maps for Dense Object Detection	Apr 24, 2020	DecoderDense Object Detection	—Unverified	0
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning	Apr 21, 2020	Multi-Task Learning	—Unverified	0
CLOPS: Continual Learning of Physiological Signals	Apr 20, 2020	Continual LearningMulti-Task Learning	—Unverified	0
Data Poisoning Attacks on Federated Machine Learning	Apr 19, 2020	BIG-bench Machine LearningData Poisoning	—Unverified	0
SpEx: Multi-Scale Time Domain Speaker Extraction Network	Apr 17, 2020	DecoderMulti-Task Learning	CodeCode Available	1
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts	Apr 16, 2020	Boundary DetectionEdge Detection	—Unverified	0
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories	Apr 15, 2020	AttributeMulti-Task 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