Conditional GANs are frequently used for manipulating the attributes of ...
The area affected by the earthquake is vast and often difficult to entir...
Deep neural networks present impressive performance, yet they cannot rel...
We introduce a new training paradigm that enforces interval constraints ...
In recent years, a lot of attention is paid to deep learning methods in ...
The problem of reducing processing time of large deep learning models is...
We present a mechanism for detecting adversarial examples based on data
...
Monitoring the technical condition of infrastructure is a crucial elemen...
We develop a fast end-to-end method for training lightweight neural netw...
Several deep models, esp. the generative, compare the samples from two
d...
In this paper, we propose a simple, fast and easy to implement algorithm...