Jonathan Uesato

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures

2018 · arXiv (Cornell University)

This paper addresses the problem of evaluating learning systems in safety critical domains such as autonomous driving, where failures can have catastrophic consequences. We focus on two problems: searching for scenarios when learned agents fail …

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

2021 · arXiv (Cornell University)

Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis of Transformer-based language model …