2021
A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data
ICASSP 2021accepted
This paper presents a quantitative approach to demonstrate the robustness of neural networks for tabular data. These data form the backbone of the data structures found in most industrial applications. We analyse the effect of various widely used techniques we encounter in neural network practice, s…