Author Archives: Arber Zela


By Arber Zela and Frank Hutter Understanding and Robustifying Differentiable Architecture Search Optimizing in the search of neural network architectures was initially defined as a discrete problem which intrinsically required to train and evaluate thousands of networks. This of course required huge amount of computational power, which was only possible for few institutions. One-shot neural […]

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AutoDispNet: Improving Disparity Estimation with AutoML

By Arber Zela, Yassine Marrakchi and Frank Hutter Compared to the state of computer vision 20 years ago, deep learning has enabled more generic methodologies that can be applied to various tasks by automatically extracting meaningful features from the data. However, in practice those methodologies are not as generic as it looks at first glance. […]

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