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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 911–920 of 3687 papers

Title	Date	Tasks	Status	Hype
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review	Jul 25, 2023	BenchmarkingMulti-Task Learning	CodeCode Available	0
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning	Jul 24, 2023	Multi-Task LearningRepresentation Learning	—Unverified	0
Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection	Jul 20, 2023	Multi-Task Learningobject-detection	—Unverified	0
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation	Jul 19, 2023	DiagnosticFace Model	CodeCode Available	1
Forecasting Early with Meta Learning	Jul 19, 2023	Meta-LearningMulti-Task Learning	CodeCode Available	0
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion	Jul 18, 2023	Multi-Task LearningSelection bias	—Unverified	0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving	Jul 17, 2023	3D Object DetectionAutonomous Driving	—Unverified	0
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images	Jul 17, 2023	DiagnosticMulti-Task Learning	—Unverified	0
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo	Jul 16, 2023	Depth EstimationMulti-Task Learning	—Unverified	0
Noise-aware Speech Enhancement using Diffusion Probabilistic Model	Jul 16, 2023	Denoisingmodel	CodeCode Available	1

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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