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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 401–410 of 3687 papers

Title	Date	Tasks	Status	Hype
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking	Mar 25, 2020	Metric LearningMulti-Object Tracking	CodeCode Available	1
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception	Apr 3, 2025	Multi-Task LearningTransfer 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
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents	Jun 1, 2021	Multi-Task LearningOpinion Mining	CodeCode Available	1
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems	Apr 3, 2021	Data AugmentationMulti-Task Learning	CodeCode Available	1
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications	Oct 21, 2023	Multi-Task Learningparameter-efficient fine-tuning	CodeCode Available	1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets	Jun 19, 2023	graph constructionMulti-Task Learning	CodeCode Available	1
MT2ST: Adaptive Multi-Task to Single-Task Learning	Jun 26, 2024	Multi-Task LearningWord Embeddings	CodeCode Available	1
MTC: A Multi-Task Model for Encrypted Network Traffic Classification Based on Transformer and 1D-CNN	Apr 29, 2023	Multi-Task LearningTraffic Classification	CodeCode Available	1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	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