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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 2081–2090 of 3687 papers

Title	Date	Tasks	Status	Hype
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition	Sep 28, 2021	Gesture RecognitionHand Gesture Recognition	—Unverified	0
DeepPSL: End-to-end perception and reasoning	Sep 28, 2021	Image ClassificationMulti-Task Learning	—Unverified	0
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images	Sep 27, 2021	Multi-Task LearningSegmentation	—Unverified	0
Consistency Training of Multi-exit Architectures for Sensor Data	Sep 27, 2021	Multi-Task Learning	—Unverified	0
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification	Sep 25, 2021	Graph AttentionMulti-Task Learning	—Unverified	0
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning	Sep 25, 2021	Multi-Task Learning	CodeCode Available	0
Multi-task Learning with Domain Knowledge for Molecular Property Prediction	Sep 24, 2021	Drug DiscoveryMolecular Property Prediction	—Unverified	0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling	Sep 23, 2021	Dialogue UnderstandingMulti-Task Learning	CodeCode Available	0
Comparison of single and multitask learning for predicting cognitive decline based on MRI data	Sep 21, 2021	DiagnosticDomain Adaptation	CodeCode Available	0
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language	Sep 21, 2021	Emotion RecognitionModel Selection	—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