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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 1261–1270 of 3687 papers

Title	Date	Tasks	Status	Hype
Discourse-Aware Emotion Cause Extraction in Conversations	Oct 26, 2022	Causal Emotion EntailmentDiscourse Parsing	—Unverified	0
Analyzing Multi-Task Learning for Abstractive Text Summarization	Oct 26, 2022	Abstractive Text SummarizationMulti-Task Learning	CodeCode Available	1
Is Multi-Task Learning an Upper Bound for Continual Learning?	Oct 26, 2022	Continual LearningContinual Self-Supervised Learning	—Unverified	0
M^3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design	Oct 26, 2022	Mixture-of-ExpertsMulti-Task Learning	CodeCode Available	1
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach	Oct 23, 2022	FairnessInductive Bias	CodeCode Available	1
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance	Oct 22, 2022	Extractive SummarizationMulti-Task Learning	—Unverified	0
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters	Oct 19, 2022	Multi-Task Learning	CodeCode Available	0
Continued Pretraining for Better Zero- and Few-Shot Promptability	Oct 19, 2022	Language ModelingLanguage Modelling	CodeCode Available	1
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning	Oct 19, 2022	Acoustic ModellingMulti-Task Learning	—Unverified	0
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction	Oct 18, 2022	Drug DiscoveryMolecular Property Prediction	—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