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 3411–3420 of 3687 papers

TitleStatusHype
Embedding Structured Dictionary Entries—0
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event—0
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning—0
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach—0
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning—0
An SCMA Receiver for 6G NTN based on Multi-Task Learning—0
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression—0
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique—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