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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 1401–1410 of 3687 papers

Title	Date	Tasks	Status	Hype
End-to-end Speech-to-Punctuated-Text Recognition	Jul 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning	Jul 6, 2022	DiagnosticMulti-Task Learning	CodeCode Available	0
Re-weighting Negative Samples for Model-Agnostic Matching	Jul 6, 2022	modelMulti-Task Learning	—Unverified	0
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa	Jul 6, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Identification of Distorted RF Components via Deep Multi-Task Learning	Jul 4, 2022	Multi-Task Learning	CodeCode Available	0
Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay	Jul 4, 2022	Action DetectionActivity Detection	CodeCode Available	0
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning	Jul 4, 2022	AttributeContrastive Learning	CodeCode Available	1
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges	Jul 3, 2022	Action Unit DetectionArousal Estimation	—Unverified	0
Saliency-Regularized Deep Multi-Task Learning	Jul 3, 2022	image-classificationImage Classification	CodeCode Available	1
Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL	Jul 3, 2022	Multi-Task LearningPrediction	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