Martin Raison

TL;DR: PyTorch as discussed by the authors is a machine learning library that provides an imperative and Pythonic programming style that makes debugging easy and is consistent with other popular scientific computing libraries, while remaining efficient and supporting hardware accelerators such as GPUs.

TL;DR: This paper details the principles that drove the implementation of PyTorch and how they are reflected in its architecture, and explains how the careful and pragmatic implementation of the key components of its runtime enables them to work together to achieve compelling performance.

TL;DR: This article introduced a new dataset providing 5 million personas and 700 million persona-based dialogues and showed that training using personas still improves the performance of end-to-end dialogue models.

TL;DR: A new dataset providing 5 million personas and 700 million persona-based dialogues is introduced and it is shown that, at this scale, training using personas still improves the performance of end-to-end systems.

TL;DR: Ringo as discussed by the authors is a system for analysis of large graphs that uses a single big-memory machine for performing analytics on all but the largest graphs as it offers excellent performance and ease of use as compared to alternative approaches.