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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 231–240 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning	Nov 30, 2022	AllMulti-Task Learning	CodeCode Available	1	5
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation	Dec 7, 2021	Knowledge DistillationMulti-Task Learning	CodeCode Available	1	5
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations	Apr 29, 2021	Multi-Task Learning	CodeCode Available	1	5
Context-Aware Answer Extraction in Question Answering	Nov 5, 2020	Multi-Task LearningPrediction	CodeCode Available	1	5
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting	Sep 2, 2021	AttributeMulti-Task Learning	CodeCode Available	1	5
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities	Nov 30, 2023	Audio ClassificationFew-Shot Audio Classification	CodeCode Available	1	5
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation	Jun 12, 2020	Multi-Task LearningSession-Based Recommendations	CodeCode Available	1	5
In Defense of the Unitary Scalarization for Deep Multi-Task Learning	Jan 11, 2022	Multi-Task LearningReinforcement Learning (RL)	CodeCode Available	1	5
A Recurrent Vision-and-Language BERT for Navigation	Nov 26, 2020	Decision MakingDecoder	CodeCode Available	1	5
Efficient Continuous Pareto Exploration in Multi-Task Learning	Jun 29, 2020	BIG-bench Machine LearningMultiobjective Optimization	CodeCode Available	1	5

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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