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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 901–910 of 3687 papers

Title	Date	Tasks	Status	Hype
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning	Aug 4, 2023	Contrastive LearningMulti-Task Learning	CodeCode Available	0
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods	Aug 3, 2023	Multi-Task Learningregression	—Unverified	0
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives	Aug 3, 2023	Multi-Task Learning	CodeCode Available	0
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles	Aug 2, 2023	ArticlesMulti-Task Learning	—Unverified	0
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans	Aug 2, 2023	Multi-Task LearningSegmentation	—Unverified	0
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration	Jul 31, 2023	Autonomous DrivingMulti-Task Learning	—Unverified	0
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification	Jul 28, 2023	AnatomyMulti-Task Learning	—Unverified	0
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts	Jul 28, 2023	Long-range modelingMixture-of-Experts	CodeCode Available	2
Prompt Guided Transformer for Multi-Task Dense Prediction	Jul 28, 2023	Boundary DetectionDecoder	CodeCode Available	1
Improvable Gap Balancing for Multi-Task Learning	Jul 28, 2023	Deep Reinforcement LearningMulti-Task Learning	CodeCode Available	1

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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