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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 3131–3140 of 3687 papers

Title	Date	Tasks	Status	Hype
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling	Nov 19, 2018	Multi-Task LearningMULTI-VIEW LEARNING	CodeCode Available	0
CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification	Nov 19, 2018	AttributeMulti-Task Learning	—Unverified	0
Neural Multi-Task Learning for Citation Function and Provenance	Nov 18, 2018	Multi-Task Learning	CodeCode Available	0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction	Nov 16, 2018	Crop Yield PredictionManagement	—Unverified	0
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction	Nov 14, 2018	Band GapBIG-bench Machine Learning	CodeCode Available	0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks	Nov 14, 2018	ClusteringComputational Efficiency	—Unverified	0
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks	Nov 14, 2018	Inductive BiasMulti-Task Learning	CodeCode Available	0
Multi-task learning for Joint Language Understanding and Dialogue State Tracking	Nov 13, 2018	Dialogue State TrackingMulti-Task Learning	—Unverified	0
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks	Nov 13, 2018	General ClassificationMulti-Task Learning	—Unverified	0
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions	Nov 11, 2018	Emotion RecognitionGenerative Adversarial Network	—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