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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 2761–2770 of 3687 papers

Title	Date	Tasks	Status	Hype
DialogAct2Vec: Towards End-to-End Dialogue Agent by Multi-Task Representation Learning	Nov 11, 2019	Multi-Task LearningRepresentation Learning	—Unverified	0
Generalizing Natural Language Analysis through Span-relation Representations	Nov 10, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression	Nov 10, 2019	Multi-Task LearningStochastic Optimization	—Unverified	0
MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models	Nov 9, 2019	Knowledge DistillationMulti-Task Learning	—Unverified	0
Speaker Adaptation for Attention-Based End-to-End Speech Recognition	Nov 9, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition	Nov 8, 2019	CaricatureFace Recognition	CodeCode Available	0
Dynamic Multi-Task Learning for Face Recognition with Facial Expression	Nov 8, 2019	Face RecognitionFace Verification	CodeCode Available	0
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency	Nov 5, 2019	Definition ExtractionMulti-Task Learning	CodeCode Available	0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning	Nov 4, 2019	Face IdentificationFacial Inpainting	CodeCode Available	0
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media	Nov 2, 2019	Multi-Task LearningSentence	—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