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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 541–550 of 3687 papers

Title	Date	Tasks	Status	Hype
Deep Learning for Automatic Pneumonia Detection	May 28, 2020	Deep LearningDiagnostic	CodeCode Available	1
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training	May 31, 2024	HallucinationMulti-Task Learning	CodeCode Available	1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization	Aug 1, 2021	Knowledge GraphsMedical Named Entity Recognition	CodeCode Available	1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation	Jun 5, 2023	Instance SegmentationMulti-Task Learning	CodeCode Available	1
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation	Aug 19, 2024	Mixture-of-ExpertsMulti-Task Learning	CodeCode Available	1
Exploring Correlations of Self-Supervised Tasks for Graphs	May 7, 2024	Multi-Task LearningSelf-Supervised 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
CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition	May 27, 2019	DecoderLanguage Modelling	CodeCode Available	1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	CodeCode Available	1
RetinaFace: Single-stage Dense Face Localisation in the Wild	May 2, 2019	Face DetectionFace Verification	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