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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 2721–2730 of 3687 papers

Title	Date	Tasks	Status	Hype
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models	Dec 28, 2019	DecoderLanguage Modeling	—Unverified	0
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System	Dec 23, 2019	Deep LearningMulti-Task Learning	—Unverified	0
An Attention-based Graph Neural Network for Heterogeneous Structural Learning	Dec 19, 2019	Graph EmbeddingGraph Neural Network	CodeCode Available	0
HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces	Dec 19, 2019	Face DetectionMulti-Task Learning	—Unverified	0
Learning from Synthetic Animals	Dec 17, 2019	Domain AdaptationHuman Parsing	CodeCode Available	1
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction	Dec 17, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	2
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection	Dec 16, 2019	Multi-Task Learning	CodeCode Available	0
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding	Dec 16, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Regularizing Deep Multi-Task Networks using Orthogonal Gradients	Dec 14, 2019	Multi-Task Learning	CodeCode Available	1
Improving Interpretability of Word Embeddings by Generating Definition and Usage	Dec 12, 2019	Multi-Task LearningWord Embeddings	—Unverified	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