SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2321–2330 of 3687 papers

TitleStatusHype
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT—0
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation—0
Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction—0
Multi-task Learning for Personal Health Mention Detection on Social Media—0
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant—0
argmax centroid—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Multitask learning for recognizing stress and depression in social media—0
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations—0
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging—0
Show:102550
← PrevPage 233 of 369Next →
All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified