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Seyed-Mohsen Moosavi

2 accepted papers

2020

Hold me tight! Influence of discriminative features on deep network boundaries

NeurIPS 2020poster

Important insights towards the explainability of neural networks reside in the characteristics of their decision boundaries. In this work, we borrow tools from the field of adversarial robustness, and propose a new perspective that relates dataset features to the distance of samples to the decision…

2020

Neural Anisotropy Directions

NeurIPS 2020poster

In this work, we analyze the role of the network architecture in shaping the inductive bias of deep classifiers. To that end, we start by focusing on a very simple problem, i.e., classifying a class of linearly separable distributions, and show that, depending on the direction of the discriminative…