SOTAVerified|Agents Browse Leaderboard About Blog

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 2121–2130 of 3687 papers

Title	Date	Tasks	Status	Hype
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations	Aug 19, 2021	ClusteringDeep Clustering	—Unverified	0
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction	Aug 18, 2021	Multi-Task LearningRecommendation Systems	—Unverified	0
Multi-task learning for jersey number recognition in Ice Hockey	Aug 17, 2021	Jersey Number RecognitionMulti-Task Learning	—Unverified	0
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction	Aug 16, 2021	Diabetes PredictionMulti-Task Learning	CodeCode Available	0
Bagging Supervised Autoencoder Classifier for Credit Scoring	Aug 12, 2021	Decision MakingManagement	—Unverified	0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations	Aug 12, 2021	Image ClassificationMulti-Task Learning	—Unverified	0
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?	Aug 11, 2021	ClassificationDepth Estimation	—Unverified	0
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks	Aug 10, 2021	Depth EstimationDepth Prediction	CodeCode Available	0
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?	Aug 10, 2021	Head Pose EstimationMulti-Task Learning	—Unverified	0
Pose is all you need: The pose only group activity recognition system (POGARS)	Aug 9, 2021	Action ClassificationActivity Prediction	—Unverified	0

Show:10 25 50

← PrevPage 213 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