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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 1741–1750 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
Interplay of Machine Translation, Diacritics, and Diacritization	Apr 9, 2024	Machine TranslationMulti-Task Learning	—Unverified	0	0
Learning from Auxiliary Sources in Argumentative Revision Classification	Sep 13, 2023	ClassificationMulti-Task Learning	—Unverified	0	0
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles	Jul 27, 2020	Multi-Task Learning	—Unverified	0	0
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation	Mar 30, 2024	DisentanglementMulti-Task Learning	—Unverified	0	0
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction	Sep 1, 2017	Aspect-Based Sentiment Analysis (ABSA)Multi-Task Learning	—Unverified	0	0
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning	Jul 25, 2024	Multi-Task LearningRecommendation Systems	—Unverified	0	0
Intent Discovery for Enterprise Virtual Assistants: Applications of Utterance Embedding and Clustering to Intent Mining	Jul 1, 2022	Intent DiscoveryLanguage Modeling	—Unverified	0	0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data	Jun 28, 2019	Anomaly DetectionMulti-Task Learning	—Unverified	0	0
A Unified Architecture for Semantic Role Labeling and Relation Classification	Dec 1, 2016	ClassificationFeature Engineering	—Unverified	0	0
A Multi-Task Architecture on Relevance-based Neural Query Translation	Jun 17, 2019	Cross-Lingual Information RetrievalInformation Retrieval	—Unverified	0	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