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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 3671–3680 of 3687 papers

Title	Date	Tasks	Status	Hype
Deep CNN-based Multi-task Learning for Open-Set Recognition	Mar 7, 2019	DecoderGeneral Classification	CodeCode Available	0
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs	Apr 25, 2022	Multi-Task Learning	CodeCode Available	0
Prompt Tuning with Soft Context Sharing for Vision-Language Models	Aug 29, 2022	Few-Shot LearningMulti-Task Learning	CodeCode Available	0
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning	Dec 1, 2023	Language ModelingLanguage Modelling	CodeCode Available	0
Multi-Task Learning for Screen Content Image Coding	Feb 3, 2023	Multi-Task LearningSegmentation	CodeCode Available	0
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks	Sep 18, 2017	Multi-Task LearningSegmentation	CodeCode Available	0
Thompson Sampling for Robust Transfer in Multi-Task Bandits	Jun 17, 2022	Multi-Task LearningThompson Sampling	CodeCode Available	0
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification	May 29, 2025	DiagnosticMulti-Task Learning	CodeCode Available	0
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks	Apr 25, 2016	Multi-Task LearningProtein Secondary Structure Prediction	CodeCode Available	0
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning	Oct 18, 2023	Multi-Task Learningparameter-efficient fine-tuning	CodeCode Available	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