SOTAVerified|Agents Browse Leaderboard About Blog

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 3241–3250 of 3687 papers

Title	Date	Tasks	Status	Hype
Modeling with Recurrent Neural Networks for Open Vocabulary Slots	Aug 1, 2018	Goal-Oriented Dialogue SystemsIntent Detection	—Unverified	0
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning	Aug 1, 2018	Emotion Detection and ClassificationGeneral Classification	—Unverified	0
Rank and Rate: Multi-task Learning for Recommender Systems	Jul 31, 2018	Multi-Task LearningPrediction	—Unverified	0
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data	Jul 31, 2018	Anomaly DetectionMulti-Task Learning	—Unverified	0
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power	Jul 31, 2018	Multi-Task LearningPrediction	—Unverified	0
AXNet: ApproXimate computing using an end-to-end trainable neural network	Jul 27, 2018	Multi-Task LearningPhilosophy	CodeCode Available	0
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency	Jul 27, 2018	Multi-Task Learning	—Unverified	0
Concurrent Learning of Semantic Relations	Jul 26, 2018	Multi-Task LearningRelation	CodeCode Available	0
Person re-identification across different datasets with multi-task learning	Jul 25, 2018	Multi-Task LearningPerson Re-Identification	—Unverified	0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts	Jul 19, 2018	Binary ClassificationClick-Through Rate Prediction	CodeCode Available	0

Show:10 25 50

← PrevPage 325 of 369Next →

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