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 1371–1380 of 3687 papers

Title	Date	Tasks	Status	Hype
On the Limitations of Sociodemographic Adaptation with Transformers	Aug 1, 2022	Language ModelingLanguage Modelling	CodeCode Available	0
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation	Jul 27, 2022	Language ModelingLanguage Modelling	—Unverified	0
Portrait Interpretation and a Benchmark	Jul 27, 2022	AttributeMulti-Task Learning	—Unverified	0
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach	Jul 24, 2022	Multi-Label LearningMulti-Task Learning	—Unverified	0
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge	Jul 23, 2022	Multi-Task LearningVocal Bursts Valence Prediction	—Unverified	0
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task Learning	Jul 22, 2022	Multi-Task Learning	CodeCode Available	0
Multi-Task Learning for Depression Detection in Dialogs	Jul 21, 2022	Depression DetectionMulti-Task Learning	CodeCode Available	1
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention	Jul 21, 2022	Action Unit DetectionArousal Estimation	—Unverified	0
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing	Jul 21, 2022	FairnessMulti-Task Learning	—Unverified	0
UFO: Unified Feature Optimization	Jul 21, 2022	Face RecognitionMulti-Task Learning	CodeCode Available	1

Show:10 25 50

← PrevPage 138 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