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 2921–2930 of 3687 papers

Title	Date	Tasks	Status	Hype
A Pragmatics-Centered Evaluation Framework for Natural Language Understanding	Jul 19, 2019	Multi-Task LearningNatural Language Inference	CodeCode Available	0
Joint Learning of Named Entity Recognition and Entity Linking	Jul 18, 2019	Entity LinkingMulti-Task Learning	—Unverified	0
News Cover Assessment via Multi-task Learning	Jul 17, 2019	Multi-Task LearningSegmentation	—Unverified	0
OmniNet: A unified architecture for multi-modal multi-task learning	Jul 17, 2019	Image CaptioningMulti-Task Learning	CodeCode Available	0
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network	Jul 10, 2019	DeblurringImage Restoration	CodeCode Available	0
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence	Jul 10, 2019	Multi-Task LearningVocal Bursts Valence Prediction	—Unverified	0
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks	Jul 9, 2019	Multi-Task LearningNetwork Embedding	—Unverified	0
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning	Jul 8, 2019	Multi-Task Learning	—Unverified	0
Multi-Task Learning for Coherence Modeling	Jul 4, 2019	Multi-Task Learning	CodeCode Available	0
Graph-based Knowledge Distillation by Multi-head Attention Network	Jul 4, 2019	Inductive BiasKnowledge Distillation	CodeCode Available	0

Show:10 25 50

← PrevPage 293 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