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The Jacobian-based Saliency Map Attack is a family of adversarial attack methods for fooling classification models, such as deep neural …
Progress in the field of machine learning has been fueled by the introduction of benchmark datasets pushing the limits of existing …
We introduce a new dataset of 293,008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by …
We propose a novel hierarchical generative model with a simple Markovian structure and a corresponding inference model. Both the …
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves …
We study Bayesian hypernetworks: a framework for approximate Bayesian inference in neural networks. A Bayesian hypernetwork $\h$ is a …
The recent literature on deep learning offers new tools to learn a rich probability distribution over high dimensional data such as …
It has been postulated that a good representation is one that disentangles the underlying explanatory factors of variation. However, it …