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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 2471–2480 of 3687 papers

Title	Date	Tasks	Status	Hype
Towards Enhancing Faithfulness for Neural Machine Translation	Nov 1, 2020	DecoderMachine Translation	—Unverified	0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System	Oct 29, 2020	counterfactualCounterfactual Inference	CodeCode Available	0
PAL : Pretext-based Active Learning	Oct 29, 2020	Active LearningMulti-Task Learning	—Unverified	0
Measuring and Harnessing Transference in Multi-Task Learning	Oct 29, 2020	Multi-Task Learning	—Unverified	0
Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning	Oct 28, 2020	Multi-Task LearningQ-Learning	—Unverified	0
Polymer Informatics with Multi-Task Learning	Oct 28, 2020	Multi-Task LearningTransfer Learning	—Unverified	0
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting	Oct 27, 2020	Multi-Task Learning	—Unverified	0
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning	Oct 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Byzantine Resilient Distributed Multi-Task Learning	Oct 25, 2020	Multi-Task Learning	CodeCode Available	0
Multi-task Supervised Learning via Cross-learning	Oct 24, 2020	image-classificationImage Classification	—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