Learning to superoptimize programs - Workshop Version

4 December 2016

Papers citing "Learning to superoptimize programs - Workshop Version"

9 / 9 papers shown

Title
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 124 2,008 0 14 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 63 257 0 06 Jun 2016
Adaptive Neural Compilation Rudy Bunel Alban Desmaison Pushmeet Kohli Philip Torr P. Mudigonda 79 46 0 25 May 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 165 110 0 22 Feb 2016
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 152 395 0 17 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 111 2,333 0 20 Oct 2014
Learning to Discover Efficient Mathematical Identities Wojciech Zaremba Karol Kurach Rob Fergus 88 54 0 06 Jun 2014
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models Varun Jampani Sebastian Nowozin M. Loper Peter V. Gehler 95 45 0 04 Feb 2014