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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 1821–1830 of 3687 papers

Title	Date	Tasks	Status	Hype
Multi-task learning on the edge: cost-efficiency and theoretical optimality	Oct 9, 2021	Multi-Task Learning	CodeCode Available	0
Generalized Scene Classification from Small-Scale Datasets with Multi-Task Learning	Oct 8, 2021	ClassificationMulti-Task Learning	CodeCode Available	0
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments	Oct 8, 2021	AllMulti-Task Learning	—Unverified	0
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation	Oct 8, 2021	Graph Neural NetworkMulti-Task Learning	CodeCode Available	1
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis	Oct 7, 2021	AttributeData Augmentation	CodeCode Available	1
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings	Oct 7, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Camera Calibration through Camera Projection Loss	Oct 7, 2021	3D ReconstructionAutonomous Driving	CodeCode Available	1
Self-Evolutionary Optimization for Pareto Front Learning	Oct 7, 2021	Multi-Task Learning	—Unverified	0
On the relationship between disentanglement and multi-task learning	Oct 7, 2021	DisentanglementMulti-Task Learning	—Unverified	0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning	Oct 6, 2021	Continual LearningCross-Lingual Transfer	—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