Order Matters: Sequence to sequence for sets

9 code implementations • 19 Nov 2015 • Oriol Vinyals, Samy Bengio, Manjunath Kudlur

Sequences have become first class citizens in supervised learning thanks to the resurgence of recurrent neural networks.

Language Modelling

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

4 code implementations • 14 Mar 2016 • Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.

BIG-bench Machine Learning Clustering +4

TensorFlow: A system for large-scale machine learning

2 code implementations • 27 May 2016 • Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments.

BIG-bench Machine Learning Management

A Learned Representation For Artistic Style

12 code implementations • 24 Oct 2016 • Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur

In this work we investigate the construction of a single, scalable deep network that can parsimoniously capture the artistic style of a diversity of paintings.

Exploring the structure of a real-time, arbitrary neural artistic stylization network

20 code implementations • 18 May 2017 • Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens

In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair.

Style Transfer

Dynamic Control Flow in Large-Scale Machine Learning

no code implementations • 4 May 2018 • Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Murray, Xiaoqiang Zheng

We describe the design of the programming model, and its implementation in TensorFlow, a distributed machine learning system.

BIG-bench Machine Learning