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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 491–500 of 3687 papers

Title	Date	Tasks	Status	Hype
Knowledge Distillation for Multi-task Learning	Jul 14, 2020	Knowledge DistillationMulti-Task Learning	CodeCode Available	1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models	Jul 14, 2020	DiversityMulti-Task Learning	CodeCode Available	1
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates	Jul 2, 2020	Deep AttentionImage Segmentation	CodeCode Available	1
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis	Jul 1, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality	Jul 1, 2020	Multimodal Sentiment AnalysisMulti-Task Learning	CodeCode Available	1
Efficient Continuous Pareto Exploration in Multi-Task Learning	Jun 29, 2020	BIG-bench Machine LearningMultiobjective Optimization	CodeCode Available	1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	CodeCode Available	1
Improving Image Captioning with Better Use of Captions	Jun 21, 2020	Caption GenerationImage Captioning	CodeCode Available	1
When Does Self-Supervision Help Graph Convolutional Networks?	Jun 16, 2020	Multi-Task LearningRepresentation Learning	CodeCode Available	1
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation	Jun 12, 2020	Multi-Task LearningSession-Based Recommendations	CodeCode Available	1

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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