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Response to reviewers for the paper: " On Lazy Training in Differentiable Programming "
We thank the reviewers for their comments and suggestions. Hereafter, we list reviewers' (sometimes paraphrased) Each answer will translate into a clarification in the final version. Reviewer #2 and #3 felt that our message was lacking clarity. A.2). We will add more pointers to their statistical analysis, from the existing literature (e.g. L81-90 in the main paper, often α(m) = 1/ m in these works).
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TurningtheTables: Biased,Imbalanced,Dynamic TabularDatasetsforMLEvaluation
Inrecentyears, there has been a significant increase of publicly available unstructured data resources for computer vision and NLP tasks.
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