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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 731–740 of 3687 papers

Title	Date	Tasks	Status	Hype
Emu Edit: Precise Image Editing via Recognition and Generation Tasks	Nov 16, 2023	Image InpaintingMulti-Task Learning	—Unverified	0
An adaptive denoising recommendation algorithm for causal separation bias	Nov 15, 2023	Causal InferenceDenoising	CodeCode Available	0
MELA: Multilingual Evaluation of Linguistic Acceptability	Nov 15, 2023	Code GenerationCross-Lingual Transfer	CodeCode Available	0
Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion	Nov 15, 2023	Multi-Task Learning	—Unverified	0
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders	Nov 14, 2023	Language ModellingMulti-Task Learning	CodeCode Available	0
Attention-based Multi-task Learning for Base Editor Outcome Prediction	Nov 13, 2023	Multi-Task Learning	—Unverified	0
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI	Nov 13, 2023	Anomaly ClassificationDiagnostic	CodeCode Available	0
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering	Nov 12, 2023	Collaborative FilteringMulti-Task Learning	—Unverified	0
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks	Nov 10, 2023	DiversityMulti-Task Learning	CodeCode Available	1
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline	Nov 10, 2023	Ensemble LearningMulti-Task Learning	—Unverified	0

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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