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 3101–3125 of 3687 papers

Title	Date	Tasks	Status
Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing	Jan 1, 2021	Multi-Task Learning	CodeCode Available
Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection	Apr 10, 2025	Multi-Task Learningobject-detection	CodeCode Available
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection	Mar 27, 2022	DiagnosticHate Speech Detection	CodeCode Available
Enhancing Relation Extraction via Adversarial Multi-task Learning	Jun 1, 2022	Multi-Task Learningnamed-entity-recognition	CodeCode Available
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving	Oct 30, 2018	Autonomous DrivingDeep Learning	CodeCode Available
Learning Neural Representations of Human Cognition across Many fMRI Studies	Oct 31, 2017	Dimensionality ReductionMulti-Task Learning	CodeCode Available
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering	Dec 6, 2018	Answer SelectionKnowledge Base Question Answering	CodeCode Available
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review	Jul 25, 2023	BenchmarkingMulti-Task Learning	CodeCode Available
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning	Jan 30, 2018	Feature EngineeringMulti-Task Learning	CodeCode Available
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation	Aug 8, 2023	Multi-Task LearningRecommendation Systems	CodeCode Available
Learning Relatedness between Types with Prototypes for Relation Extraction	Apr 1, 2021	Multi-Task LearningRelation	CodeCode Available
Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning	Nov 21, 2022	Hierarchical Multi-label ClassificationLanguage Modeling	CodeCode Available
Cross-Task Consistency Learning Framework for Multi-Task Learning	Nov 28, 2021	Contrastive LearningMulti-Task Learning	CodeCode Available
Enhancing Criminal Case Matching through Diverse Legal Factors	Jun 17, 2024	Multi-Task Learning	CodeCode Available
Cross-stitch Networks for Multi-task Learning	Apr 12, 2016	Multi-Task LearningSemantic Segmentation	CodeCode Available
Learning Sparse Sharing Architectures for Multiple Tasks	Nov 12, 2019	Multi-Task Learning	CodeCode Available
Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization	Sep 20, 2023	coreference-resolutionCoreference Resolution	CodeCode Available
Statistical mechanics of continual learning: variational principle and mean-field potential	Dec 6, 2022	Continual LearningMulti-Task Learning	CodeCode Available
Multi-Task Meta Learning: learn how to adapt to unseen tasks	Oct 13, 2022	Depth EstimationEdge Detection	CodeCode Available
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning	Jan 28, 2020	DecoderGoal-Oriented Dialog	CodeCode Available
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation	Mar 20, 2025	Multi-Task Learning	CodeCode Available
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning	Oct 25, 2021	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available
Learning to Detect Multiple Photographic Defects	Dec 6, 2016	Defect DetectionMulti-Task Learning	CodeCode Available
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning	Aug 1, 2021	DenoisingFew-Shot Learning	CodeCode Available
Learning to Generate Explanation from e-Hospital Services for Medical Suggestion	Oct 1, 2022	Explanation GenerationMulti-Task Learning	CodeCode Available

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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