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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 91–100 of 3687 papers

Title	Date	Tasks	Status	Hype
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data	Jul 20, 2020	Few-Shot LearningMulti-Task Learning	CodeCode Available	1
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences	Feb 14, 2022	Code CompletionLanguage Modelling	CodeCode Available	1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	CodeCode Available	1
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations	Apr 29, 2021	Multi-Task Learning	CodeCode Available	1
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation	Sep 2, 2021	Clone DetectionCode Generation	CodeCode Available	1
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning	Oct 3, 2022	AllMulti-Task Learning	CodeCode Available	1
Causal Inference for Chatting Handoff	Oct 6, 2022	Causal InferenceChatbot	CodeCode Available	1
CentralNet: a Multilayer Approach for Multimodal Fusion	Aug 22, 2018	Multi-Task Learning	CodeCode Available	1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality	Jul 1, 2020	Multimodal Sentiment AnalysisMulti-Task Learning	CodeCode Available	1
Camera Calibration through Camera Projection Loss	Oct 7, 2021	3D ReconstructionAutonomous Driving	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