Mixtures of classifiers (a.k.a. randomized ensembles) have been proposed...
Achieving a balance between image quality (precision) and diversity (rec...
Deep neural networks are known to be vulnerable to adversarial attacks: ...
Generative models can have distinct mode of failures like mode dropping ...
An invertible function is bi-Lipschitz if both the function and its inve...
It has been empirically observed that defense mechanisms designed to pro...
This paper tackles the problem of Lipschitz regularization of Convolutio...
Since the discovery of adversarial examples in machine learning, researc...
In this paper, we study deep fully circulant neural networks, that is de...
In real world scenarios, model accuracy is hardly the only factor to
con...
In this paper, we tackle the problem of extracting frequent opinions fro...
Traditional pattern mining algorithms generally suffer from a lack of
fl...