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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 1781–1790 of 3687 papers

Title	Date	Tasks	Status	Hype
Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task	Nov 1, 2021	Domain AdaptationMulti-Task Learning	CodeCode Available	1
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction	Nov 1, 2021	DecoderJoint Entity and Relation Extraction	—Unverified	0
PCA-based Multi Task Learning: a Random Matrix Approach	Nov 1, 2021	Multi-Task Learning	—Unverified	0
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow	Oct 30, 2021	Multi-Task Learning	—Unverified	0
MetaICL: Learning to Learn In Context	Oct 29, 2021	Few-Shot LearningIn-Context Learning	CodeCode Available	1
Aligned Multi-Task Gaussian Process	Oct 29, 2021	Bayesian InferenceGaussian Processes	—Unverified	0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition	Oct 29, 2021	DecoderGesture Recognition	—Unverified	0
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints	Oct 28, 2021	image-classificationImage Classification	—Unverified	0
Facial Emotion Recognition: A multi-task approach using deep learning	Oct 28, 2021	Deep LearningEmotion Recognition	CodeCode Available	0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization	Oct 27, 2021	Multi-Task 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