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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 2251–2260 of 3687 papers

Title	Date	Tasks	Status	Hype
SPARTA: Speaker Profiling for ARabic TAlk	Dec 13, 2020	Multi-Task LearningSpeaker Profiling	—Unverified	0
Improving EEG Decoding via Clustering-based Multi-task Feature Learning	Dec 12, 2020	Brain Computer InterfaceClustering	—Unverified	0
Exploring wav2vec 2.0 on speaker verification and language identification	Dec 11, 2020	Language IdentificationMulti-Task Learning	—Unverified	0
Deep Learning Approach for Matrix Completion Using Manifold Learning	Dec 11, 2020	Deep LearningMatrix Completion	—Unverified	0
Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction	Dec 9, 2020	Link PredictionMulti-Task Learning	CodeCode Available	0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation	Dec 9, 2020	Depth EstimationDomain Adaptation	—Unverified	0
Ditto: Fair and Robust Federated Learning Through Personalization	Dec 8, 2020	FairnessFederated Learning	CodeCode Available	1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING	Dec 7, 2020	Computational EfficiencyContinual Learning	CodeCode Available	1
Traffic flow prediction using Deep Sedenion Networks	Dec 7, 2020	Multi-Task LearningPrediction	CodeCode Available	0
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification	Dec 5, 2020	Depression DetectionMetric 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