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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 3451–3460 of 3687 papers

Title	Date	Tasks	Status	Hype
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification	Oct 17, 2024	Multi-Task Learning	CodeCode Available	0
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder	Jun 28, 2019	Chinese Word SegmentationMulti-Task Learning	CodeCode Available	0
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)	Jun 29, 2020	Model SelectionMulti-Task Learning	CodeCode Available	0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification	Jul 25, 2019	Autonomous VehiclesClassification	CodeCode Available	0
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints	Oct 4, 2019	ClusteringFederated Learning	CodeCode Available	0
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	Apr 14, 2022	Multi-Task LearningRecommendation Systems	CodeCode Available	0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression	Dec 14, 2024	Computational EfficiencyDiversity	CodeCode Available	0
Domain Generalization of 3D Object Detection by Density-Resampling	Nov 17, 2023	3D Object DetectionData Augmentation	CodeCode Available	0
Fine-grained Urban Flow Inference with Incomplete Data	Mar 1, 2022	Fine-Grained Urban Flow InferenceMulti-Task Learning	CodeCode Available	0
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI	Oct 1, 2024	AnatomyContrastive Learning	CodeCode Available	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