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 301–310 of 3687 papers

Title	Date	Tasks	Status	Hype
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction	Jan 9, 2023	DecoderMulti-Task Learning	CodeCode Available	1
Denoising Task Routing for Diffusion Models	Oct 11, 2023	DenoisingMulti-Task Learning	CodeCode Available	1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking	Apr 4, 2020	FairnessMulti-Object Tracking	CodeCode Available	1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction	Mar 16, 2020	Deep Reinforcement LearningMeta-Learning	CodeCode Available	1
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning	Nov 30, 2022	AllMulti-Task Learning	CodeCode Available	1
AdaMerging: Adaptive Model Merging for Multi-Task Learning	Oct 4, 2023	modelMulti-Task Learning	CodeCode Available	1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization	Aug 1, 2021	Knowledge GraphsMedical Named Entity Recognition	CodeCode Available	1
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts	May 30, 2023	CPUGPU	CodeCode Available	1
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses	Nov 15, 2024	Depth EstimationMulti-Task Learning	CodeCode Available	1
A Recurrent Vision-and-Language BERT for Navigation	Nov 26, 2020	Decision MakingDecoder	CodeCode Available	1

Show:10 25 50

← PrevPage 31 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