Timezone: »
Lunch provided and Open Source ML Systems Showcase (TensorFlow, PyTorch 1.0, MxNET, Keras, CoreML, Ray, Chainer)
Rajat Monga · Soumith Chintala · Thierry Moreau · Francois Chollet · Daniel Crankshaw · Robert Nishihara · Seiya Tokui
Fri Dec 07 09:30 AM -- 11:55 AM (PST) @
Author Information
Rajat Monga (Google)
Soumith Chintala (Facebook AI Research)
Thierry Moreau (university of washington)
Francois Chollet (Google, Inc)
Francois Chollet is a software engineer at Google, where he leads the team that makes Keras, a major deep learning framework. He is the author of numerous publications in the field of deep learning, including a best-selling textbook. His current research focuses on abstraction generation, analogical reasoning, and how to achieve greater generality in artificial intelligence.
Daniel Crankshaw (UC Berkeley RISE Lab)
Robert Nishihara (UC Berkeley)
Seiya Tokui (Preferred Networks, Inc.)
More from the Same Authors
-
2020 Tutorial: (Track1) Abstraction & Reasoning in AI systems: Modern Perspectives Q&A »
Francois Chollet · Melanie Mitchell · Christian Szegedy -
2020 Tutorial: (Track1) Abstraction & Reasoning in AI systems: Modern Perspectives »
Francois Chollet · Melanie Mitchell · Christian Szegedy -
2019 Poster: PyTorch: An Imperative Style, High-Performance Deep Learning Library »
Adam Paszke · Sam Gross · Francisco Massa · Adam Lerer · James Bradbury · Gregory Chanan · Trevor Killeen · Zeming Lin · Natalia Gimelshein · Luca Antiga · Alban Desmaison · Andreas Kopf · Edward Yang · Zachary DeVito · Martin Raison · Alykhan Tejani · Sasank Chilamkurthy · Benoit Steiner · Lu Fang · Junjie Bai · Soumith Chintala -
2018 Workshop: MLSys: Workshop on Systems for ML and Open Source Software »
Aparna Lakshmiratan · Sarah Bird · Siddhartha Sen · Joseph Gonzalez · Daniel Crankshaw -
2018 Poster: Learning to Optimize Tensor Programs »
Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy -
2018 Spotlight: Learning to Optimize Tensor Programs »
Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy -
2017 : On-Device ML Frameworks »
Jeff Gehlhaar · Yangqing Jia · Rajat Monga -
2017 : Data center to the edge: a journey with TensorFlow »
Rajat Monga -
2017 : Tips and tricks of coding papers on PyTorch »
Soumith Chintala -
2017 : Updates from Current ML Systems (TensorFlow, PyTorch, Caffe2, CNTK, MXNet, TVM, Clipper, MacroBase, ModelDB) »
Rajat Monga · Soumith Chintala · Cha Zhang · Tianqi Chen · Daniel Crankshaw · Kai Sheng Tai · Andrew Tulloch · Manasi Vartak -
2017 Workshop: ML Systems Workshop @ NIPS 2017 »
Aparna Lakshmiratan · Sarah Bird · Siddhartha Sen · Christopher Ré · Li Erran Li · Joseph Gonzalez · Daniel Crankshaw -
2016 : Discussion panel »
Ian Goodfellow · Soumith Chintala · Arthur Gretton · Sebastian Nowozin · Aaron Courville · Yann LeCun · Emily Denton -
2016 : How to train a GAN? »
Soumith Chintala -
2016 Poster: DeepMath - Deep Sequence Models for Premise Selection »
Geoffrey Irving · Christian Szegedy · Alexander Alemi · Niklas Een · Francois Chollet · Josef Urban -
2015 Poster: Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks »
Emily Denton · Soumith Chintala · arthur szlam · Rob Fergus -
2014 Poster: On the Convergence Rate of Decomposable Submodular Function Minimization »
Robert Nishihara · Stefanie Jegelka · Michael Jordan -
2012 Poster: Large Scale Distributed Deep Networks »
Jeff Dean · Greg Corrado · Rajat Monga · Kai Chen · Matthieu Devin · Quoc V Le · Mark Mao · Marc'Aurelio Ranzato · Andrew Senior · Paul Tucker · Ke Yang · Andrew Y Ng