paper-with-me

Multi-Task Learning 벤치마크

Multi-Task Learning on OMNIGLOT

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Average Accuracy

92.19 92.52 92.85 93.19 93.52 2019-05 2026-11 Mixture-of-Experts — 92.19 (2019-05-01) Mixture-of-Experts — 92.19 (2019-05-01) Gumbel-Matrix Routing — 93.52 (2019-10-10) Gumbel-Matrix Routing — 93.52 (2019-10-10) Mixture-of-Experts — 92.19 (2019-05-01) Gumbel-Matrix Routing — 93.52 (2019-10-10)
RankModel Average Accuracy PaperCodeYear
1 Gumbel-Matrix Routing 93.52 Flexible Multi-task Networks by Learning Parameter Allocation 2019
2 Mixture-of-Experts 92.19 Diversity and Depth in Per-Example Routing Models 2019
3 Gumbel-Matrix Routing 93.52 Flexible Multi-task Networks by Learning Parameter Allocation 2019
4 Mixture-of-Experts 92.19 Diversity and Depth in Per-Example Routing Models 2019
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