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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 261–270 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
End-to-End Multi-Task Learning with Attention	Mar 28, 2018	image-classificationMulti-Task Learning	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
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding	Aug 1, 2021	Data AugmentationDecoder	CodeCode Available	1	5
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas	Jun 1, 2020	MinecraftMulti-Task Learning	CodeCode Available	1	5
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses	Sep 12, 2019	AttributeLung Cancer Diagnosis	CodeCode Available	1	5
Aggression and Misogyny Detection using BERT: A Multi-Task Approach	May 1, 2020	Abusive LanguageAggression Identification	CodeCode Available	1	5
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems	Dec 1, 2021	Multi-Task Learning	CodeCode Available	1	5
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents	Jun 1, 2021	Multi-Task LearningOpinion Mining	CodeCode Available	1	5
End-to-end Emotion-Cause Pair Extraction via Learning to Link	Feb 25, 2020	BenchmarkingEmotion Cause Extraction	CodeCode Available	1	5
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System	Feb 10, 2023	Multi-Task LearningRecommendation Systems	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