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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 3631–3640 of 3687 papers

Title	Date	Tasks	Status	Hype
Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media	Jan 27, 2021	Multi-Task LearningTranslation	CodeCode Available	0
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network	Feb 12, 2020	Graph Neural NetworkMulti-Task Learning	CodeCode Available	0
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP	May 23, 2023	DiversityMulti-Task Learning	CodeCode Available	0
Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem	Jun 1, 2018	Multi-Task LearningSentiment Analysis	CodeCode Available	0
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes	Feb 27, 2024	Domain AdaptationMulti-Task Learning	CodeCode Available	0
Accurate Word Alignment Induction from Neural Machine Translation	Apr 30, 2020	DecoderMachine Translation	CodeCode Available	0
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning	Aug 29, 2024	Continual LearningMulti-Task Learning	CodeCode Available	0
Unsupervised Task Clustering for Multi-Task Reinforcement Learning	Jan 1, 2021	Atari GamesClustering	CodeCode Available	0
Deep Learning for Patient-Specific Kidney Graft Survival Analysis	May 29, 2017	Decision MakingDeep Learning	CodeCode Available	0
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters	Oct 19, 2022	Multi-Task 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