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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
Author Information
Rajat Monga (Google)
Soumith Chintala (Facebook AI Research)
Cha Zhang (Microsoft AI & Research)
Tianqi Chen (University of Washington)
Daniel Crankshaw (UC Berkeley RISE Lab)
Kai Sheng Tai (Stanford University)
Andrew Tulloch (Facebook AI Research)
Manasi Vartak (Massachusetts Institute of Technology)
More from the Same Authors
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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 : Poster Session (All Posters) »
Stephen Macke · Hongzi Mao · Caroline Lemieux · Saim Salman · Rishikesh Jha · Hanrui Wang · Shoumik P Palkar · Tianqi Chen · Thomas Pumir · Vaishnav Janardhan · adit bhardwaj · Ed Chi -
2018 : 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 -
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 : High performance ultra-low-precision convolutions on mobile devices »
Andrew Tulloch · Yangqing Jia -
2017 Workshop: ML Systems Workshop @ NIPS 2017 »
Aparna Lakshmiratan · Sarah Bird · Siddhartha Sen · Christopher Ré · Li Erran Li · Joseph Gonzalez · Daniel Crankshaw -
2017 Poster: A Meta-Learning Perspective on Cold-Start Recommendations for Items »
Manasi Vartak · Arvind Thiagarajan · Conrado Miranda · Jeshua Bratman · Hugo Larochelle -
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 -
2015 Workshop: Machine Learning Systems »
Alex Beutel · Tianqi Chen · Sameer Singh · Elaine Angelino · Markus Weimer · Joseph Gonzalez -
2015 Poster: A Complete Recipe for Stochastic Gradient MCMC »
Yi-An Ma · Tianqi Chen · Emily Fox -
2015 Poster: Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks »
Emily Denton · Soumith Chintala · arthur szlam · Rob Fergus -
2014 Workshop: High-energy particle physics, machine learning, and the HiggsML data challenge (HEPML) »
Glen Cowan · Balázs Kégl · Kyle Cranmer · Gábor Melis · Tim Salimans · Vladimir Vava Gligorov · Daniel Whiteson · Lester Mackey · Wojciech Kotlowski · Roberto Díaz Morales · Pierre Baldi · Cecile Germain · David Rousseau · Isabelle Guyon · Tianqi Chen -
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 -
2007 Poster: Multiple-Instance Pruning For Learning Efficient Cascade Detectors »
Cha Zhang · Paul Viola