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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 311–320 of 3687 papers

Title	Date	Tasks	Status	Hype
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis	Mar 14, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
REX: Reasoning-aware and Grounded Explanation	Mar 11, 2022	Decision MakingExplanation Generation	CodeCode Available	1
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap	Mar 8, 2022	Multi-Task LearningPose Estimation	CodeCode Available	1
Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement	Mar 4, 2022	Active Speaker DetectionMulti-Task Learning	CodeCode Available	1
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models	Mar 2, 2022	Language ModelingLanguage Modelling	CodeCode Available	1
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection	Mar 1, 2022	Fovea DetectionMulti-Task Learning	CodeCode Available	1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification	Feb 28, 2022	AllCell Detection	CodeCode Available	1
Structured Multi-task Learning for Molecular Property Prediction	Feb 22, 2022	Drug DiscoveryGraph Neural Network	CodeCode Available	1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network	Feb 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images	Feb 15, 2022	Deep Learningimage-classification	CodeCode Available	1

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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