SOTAVerified|Agents Browse Leaderboard About

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 1051–1060 of 3687 papers

Title	Date	Tasks	Status	Hype
Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides	Apr 6, 2023	DiagnosticMulti-Task Learning	CodeCode Available	0
Practical Lessons on Optimizing Sponsored Products in eCommerce	Apr 5, 2023	Feature EngineeringMulti-Task Learning	—Unverified	0
A Diffusion-based Method for Multi-turn Compositional Image Generation	Apr 5, 2023	DenoisingImage Generation	—Unverified	0
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors	Apr 5, 2023	FairnessMulti-Task Learning	—Unverified	0
Specialty-Oriented Generalist Medical AI for Chest CT Screening	Apr 3, 2023	Disease PredictionLung Cancer Diagnosis	CodeCode Available	1
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation	Apr 3, 2023	Multi-Task Learning	—Unverified	0
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation	Apr 3, 2023	3D Object DetectionAutonomous Driving	CodeCode Available	2
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation	Mar 31, 2023	Multi-Task LearningStereo Matching	CodeCode Available	1
Towards Flexible Multi-modal Document Models	Mar 31, 2023	Multi-Task LearningPosition	CodeCode Available	1
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness	Mar 31, 2023	Multi-Task LearningTransfer Learning	CodeCode Available	0

Show:10 25 50

← PrevPage 106 of 369Next →

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