Martin Wistuba

Adversarial Phenomenon in the Eyes of Bayesian Deep Learning

2017 · arXiv (Cornell University)

Deep Learning models are vulnerable to adversarial examples, i.e.\ images obtained via deliberate imperceptible perturbations, such that the model misclassifies them with high confidence. However, class confidence by itself is an incomplete picture of uncertainty. …

AutoText: An End-to-End AutoAI Framework for Text

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Building models for natural language processing (NLP) tasks remains a daunting task for many, requiring significant technical expertise, efforts, and resources. In this demonstration, we present AutoText, an end-to-end AutoAI framework for text, to lower …