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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 3091–3100 of 3687 papers

Title	Date	Tasks	Status	Hype
Self-Supervised Generalisation with Meta Auxiliary Learning	Jan 25, 2019	Auxiliary LearningMeta-Learning	CodeCode Available	0
Joint shape learning and segmentation for medical images using a minimalistic deep network	Jan 25, 2019	DecoderImage Segmentation	—Unverified	0
Sentiment and Sarcasm Classification with Multitask Learning	Jan 23, 2019	ClassificationGeneral Classification	—Unverified	0
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation	Jan 23, 2019	Collaborative FilteringGraph Embedding	CodeCode Available	0
Pedestrian Attribute Recognition: A Survey	Jan 22, 2019	AttributeMulti-Label Learning	—Unverified	0
Reducing the Model Variance of a Rectal Cancer Segmentation Network	Jan 22, 2019	Data AugmentationImage Segmentation	—Unverified	0
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos	Jan 21, 2019	Decision MakingMulti-Task Learning	CodeCode Available	0
Design of Real-time Semantic Segmentation Decoder for Automated Driving	Jan 19, 2019	Decoderimage-classification	—Unverified	0
A Manifold Regularized Multi-Task Learning Model for IQ Prediction from Multiple fMRI Paradigms	Jan 17, 2019	Functional ConnectivityMulti-Task Learning	—Unverified	0
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving	Jan 17, 2019	Decision MakingDepth Estimation	—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