publication . Article . 2019

[Re] Meta-learning with differentiable closed-form solvers

Devos, Arnout; Chatel, Sylvain; Grossglauser, Matthias;
Open Access
  • Published: 22 May 2019
Abstract
In this work, we present a reproduction of the paper of Bertinetto et al. ”Meta- learning with differentiable closed-form solvers” as part of the ICLR 2019 Reproducibility Challenge. In successfully reproducing the most crucial part of the paper, we reach a performance that is comparable with or superior to the original paper on two benchmarks for several settings. We evaluate new baseline results, using a new dataset presented in the paper. Yet, we also provide multiple remarks and recommendations about reproducibility and comparability. After we brought our reproducibility work to the authorsʼ attention, they have updated the original paper on which this work ...
Subjects
free text keywords: Few-Shot, Python, rescience c, Deep-Learning, Meta-Learning, Machine Learning, rescience x
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publication . Article . 2019

[Re] Meta-learning with differentiable closed-form solvers

Devos, Arnout; Chatel, Sylvain; Grossglauser, Matthias;