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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 2621–2630 of 3687 papers

Title	Date	Tasks	Status	Hype
Unified Multi-Criteria Chinese Word Segmentation with BERT	Apr 13, 2020	Chinese Word SegmentationLanguage Modeling	—Unverified	0
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning	Apr 13, 2020	Multi-Task Learning	—Unverified	0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks	Apr 12, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Pre-training Text Representations as Meta Learning	Apr 12, 2020	Language ModelingLanguage Modelling	—Unverified	0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases	Apr 11, 2020	DiversityMortality Prediction	—Unverified	0
Meta-Learning in Neural Networks: A Survey	Apr 11, 2020	Few-Shot LearningHyperparameter Optimization	CodeCode Available	1
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR	Apr 10, 2020	DecoderMulti-Task Learning	—Unverified	0
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events	Apr 8, 2020	Multi-Task Learning	—Unverified	0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation	Apr 8, 2020	Data AugmentationDenoising	CodeCode Available	0
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning	Apr 7, 2020	Meta-LearningMulti-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