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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 1801–1810 of 3687 papers

Title	Date	Tasks	Status	Hype
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation	Oct 21, 2021	Domain AdaptationMulti-Task Learning	CodeCode Available	0
Topic-Guided Abstractive Multi-Document Summarization	Oct 21, 2021	Document SummarizationGraph-to-Sequence	—Unverified	0
Simpler Does It: Generating Semantic Labels with Objectness Guidance	Oct 20, 2021	Multi-Task LearningObject	—Unverified	0
Knowledge distillation from language model to acoustic model: a hierarchical multi-task learning approach	Oct 20, 2021	Knowledge DistillationLanguage Modeling	—Unverified	0
Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple Contrasts	Oct 19, 2021	DiagnosticMRI Reconstruction	CodeCode Available	0
Importance Estimation from Multiple Perspectives for Keyphrase Extraction	Oct 19, 2021	ChunkingKeyphrase Extraction	—Unverified	0
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning	Oct 18, 2021	Multi-Task LearningRepresentation Learning	—Unverified	0
A Bayesian approach to multi-task learning with network lasso	Oct 18, 2021	Multi-Task Learning	—Unverified	0
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set	Oct 17, 2021	Multi-Task Learning	—Unverified	0
BotsTalk: Machine-Sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets	Oct 16, 2021	ChatbotDialogue Generation	—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