Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Understanding Normalization in Neural ODEs   Normalization is an important and vastly investigated technique in deep
learning. However, its role for Ordinary Differential Equation based networks
(neural ODEs) is still poorly understood. This paper investigates how different
normalization techniques affect the performance of neural ODEs. Particularly,
we show that it is possible to achieve 93% accuracy in the CIFAR-10
classification task, and to the best of our knowledge, this is the highest
reported accuracy among neural ODEs tested on this problem.

13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
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The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio