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 3071–3080 of 3687 papers

TitleStatusHype
AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify—0
Sieg at MEDIQA 2019: Multi-task Neural Ensemble for Biomedical Inference and Entailment—0
Sign-regularized Multi-task Learning—0
SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework—0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Simple Compounded-Label Training for Fact Extraction and Verification—0
Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text—0
Simpler Does It: Generating Semantic Labels with Objectness Guidance—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
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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