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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 2841–2850 of 3687 papers

Title	Date	Tasks	Status	Hype
Joint Acne Image Grading and Counting via Label Distribution Learning	Oct 1, 2019	Acne Severity GradingMedical Image Classification	CodeCode Available	0
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning	Sep 30, 2019	Deep Reinforcement LearningImitation Learning	—Unverified	0
Single-Network Whole-Body Pose Estimation	Sep 30, 2019	Multi-Task LearningPose Estimation	CodeCode Available	0
Gated Task Interaction Framework for Multi-task Sequence Tagging	Sep 29, 2019	ChunkingMulti-Task Learning	CodeCode Available	0
RLBench: The Robot Learning Benchmark & Learning Environment	Sep 26, 2019	Few-Shot LearningImitation Learning	CodeCode Available	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
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head	Sep 25, 2019	Instance SegmentationMulti-Task Learning	—Unverified	0
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace	Sep 25, 2019	Action Unit DetectionArousal Estimation	—Unverified	0
Gumbel-Matrix Routing for Flexible Multi-task Learning	Sep 25, 2019	Multi-Task Learning	—Unverified	0
Multi-Dimensional Explanation of Reviews	Sep 25, 2019	Multi-Task LearningSentiment Analysis	—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