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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 1251–1260 of 3687 papers

Title	Date	Tasks	Status	Hype
Hierarchical Multi-Task Learning Framework for Session-based Recommendations	Sep 12, 2023	Multi-Task LearningPrediction	—Unverified	0
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning	Jan 31, 2023	Multi-Task Learning	—Unverified	0
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue	Sep 26, 2019	Multi-Task Learning	—Unverified	0
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition	Jun 13, 2023	AttributeContrastive Learning	—Unverified	0
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis	Jul 8, 2024	DiagnosticMulti-Task Learning	—Unverified	0
Constraint-driven multi-task learning	Aug 24, 2022	Inductive logic programmingMulti-Task Learning	—Unverified	0
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning	Nov 4, 2021	Multi-Task LearningObject	—Unverified	0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles	Apr 3, 2020	Autonomous VehiclesMulti-Task Learning	—Unverified	0
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning	Oct 11, 2023	Decision MakingImitation Learning	—Unverified	0
Hierarchical Multi Task Learning With CTC	Jul 18, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—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