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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 3061–3070 of 3687 papers

Title	Date	Tasks	Status	Hype
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection	Dec 16, 2019	Multi-Task Learning	CodeCode Available	0
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation	Jun 1, 2019	Image-level Supervised Instance SegmentationMulti-Task Learning	CodeCode Available	0
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning	Sep 22, 2019	Continual LearningDeep Reinforcement Learning	CodeCode Available	0
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent	Mar 23, 2020	Multi-Task Learning	CodeCode Available	0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation	Apr 28, 2023	AttributeContrastive Learning	CodeCode Available	0
Byzantine Resilient Distributed Multi-Task Learning	Oct 25, 2020	Multi-Task Learning	CodeCode Available	0
Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts	Jun 24, 2022	Multi-Task Learning	CodeCode Available	0
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction	Apr 1, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	0
Learning a Repression Network for Precise Vehicle Search	Aug 8, 2017	AttributeMulti-Task Learning	CodeCode Available	0
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling	Nov 2, 2017	Fine-Grained Opinion AnalysisMulti-Task Learning	CodeCode Available	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