Inside 245-5D

Existential Pontification and Generalized Abstract Digressions

December, 2017

Systems ML workshop panel

JG: Joseph Gonzalez GG: Garth Gibson (CMU) DS: Dawn Song (UC Berkeley) JL: John Langford (Microsoft NY)j YQ: Yangqing Jia (Facebook) SB: Sarah Bird M: Moderator A: Audience M: This workshop is bringing together ML and systems. Can you put your place on that spectrum? Who is your home community? YJ: Right in the middle. […]

  • December 8, 2017

Accelerating Persistent Neural Networks at Datacenter Scale (Daniel Lo)

The below is a transcript of a talk by Daniel Lo on BrainWave, at the ML Systems Workshop at NIPS'17. Deploy and serve accelerated DNNs at cloud scale. As we've seen, DNNs have enabled amazing applications. Architectures achieve SoTA on computer vision, language translation and speech recognition. But this is challenging to serve in large-scale […]

  • December 8, 2017

MOCHA: Federated Multi-Tasks Learning (Virginia Smith)

The below is a transcript of a talk by Virginia Smith on MOCHA, at the ML Systems Workshop at NIPS'17. The motivation for this work comes from the way we think about solving ML problems in practice is changing. The typical ML workflow looks like this. You start iwth dataset and problem to solve. Say […]

  • December 8, 2017

A Machine Learning Approach to Database Indexes (Alex Beutel)

The below is a transcript of a talk by Alex Beutel on machine learning database indexes, at the ML Systems Workshop at NIPS'17. DB researchers think about there research differently. You have a system that needs to work for all cases. Where as in ML, we have a unique circumstance, I'll build a model that […]

  • December 8, 2017