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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 251–260 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
ELIT: Emory Language and Information Toolkit	Sep 8, 2021	AMR ParsingConstituency Parsing	CodeCode Available	1	5
Dataless Knowledge Fusion by Merging Weights of Language Models	Dec 19, 2022	Multi-Task Learning	CodeCode Available	1	5
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller	Jan 1, 2022	Multi-Task Learning	CodeCode Available	1	5
Learning from Synthetic Animals	Dec 17, 2019	Domain AdaptationHuman Parsing	CodeCode Available	1	5
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses	Sep 12, 2019	AttributeLung Cancer Diagnosis	CodeCode Available	1	5
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training	May 31, 2024	HallucinationMulti-Task Learning	CodeCode Available	1	5
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking	Apr 4, 2020	FairnessMulti-Object Tracking	CodeCode Available	1	5
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts	May 30, 2023	CPUGPU	CodeCode Available	1	5
Efficient Continuous Pareto Exploration in Multi-Task Learning	Jun 29, 2020	BIG-bench Machine LearningMultiobjective Optimization	CodeCode Available	1	5
A Recurrent Vision-and-Language BERT for Navigation	Nov 26, 2020	Decision MakingDecoder	CodeCode Available	1	5

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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