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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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1860 of 3687 papers

TitleStatusHype
Lifelong Reinforcement Learning via Neuromodulation—0
Lifelong Robotic Reinforcement Learning by Retaining Experiences—0
LIMIT-BERT : Linguistic Informed Multi-Task BERT—0
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution—0
LIMT: Language-Informed Multi-Task Visual World Models—0
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data—0
Towards automatic construction of multi-network models for heterogeneous multi-task learning—0
Linguistically-Informed Self-Attention for Semantic Role Labeling—0
Linguistic representations in multi-task neural networks for ellipsis resolution—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—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