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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 2101–2110 of 3687 papers

Title	Date	Tasks	Status	Hype
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning	Sep 30, 2019	Deep Reinforcement LearningImitation Learning	—Unverified	0
TENSOR RING NETS ADAPTED DEEP MULTI-TASK LEARNING	May 1, 2019	Multi-Task Learning	—Unverified	0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text	Sep 29, 2020	Extracting COVID-19 Events from TwitterLanguage Modeling	—Unverified	0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling	Nov 1, 2020	Extracting COVID-19 Events from TwitterLanguage Modeling	—Unverified	0
Text-Attentional Convolutional Neural Networks for Scene Text Detection	Oct 12, 2015	Multi-Task LearningScene Text Detection	—Unverified	0
Text-attentional convolutional neural network for scene text detection	Mar 24, 2016	Multi-Task LearningScene Text Detection	—Unverified	0
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases	Sep 1, 2019	AttributeKnowledge Base Completion	—Unverified	0
Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan	Apr 20, 2024	Few-Shot LearningMulti-Task Learning	—Unverified	0
Text Synopsis Generation for Egocentric Videos	May 8, 2020	Multi-Task LearningVideo Summarization	—Unverified	0
TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer	Oct 29, 2022	Multi-Task LearningSegmentation	—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