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12/13/2019
Dota 2 with Large Scale Deep Reinforcement Learning
On April 13th, 2019, OpenAI Five became the first AI system to defeat th...
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04/05/2017
Learning to Generate Reviews and Discovering Sentiment
We explore the properties of byte-level recurrent language models. When ...
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08/22/2016
LFADS - Latent Factor Analysis via Dynamical Systems
Neuroscience is experiencing a data revolution in which many hundreds or...
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06/15/2016
Improving Variational Inference with Inverse Autoregressive Flow
The framework of normalizing flows provides a general strategy for flexi...
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04/04/2016
Revisiting Distributed Synchronous SGD
Distributed training of deep learning models on large-scale training dat...
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03/14/2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is an interface for expressing machine learning algorithms, a...
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02/07/2016
Exploring the Limits of Language Modeling
In this work we explore recent advances in Recurrent Neural Networks for...
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11/19/2015
Towards Principled Unsupervised Learning
General unsupervised learning is a long-standing conceptual problem in m...
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11/19/2015
Generating Sentences from a Continuous Space
The standard recurrent neural network language model (RNNLM) generates s...
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04/18/2015
