
Towards Principled Unsupervised Learning
General unsupervised learning is a longstanding conceptual problem in m...
11/19/2015 ∙ by Ilya Sutskever, et al. ∙ 0 ∙ shareread it

TensorFlow: LargeScale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is an interface for expressing machine learning algorithms, a...
03/14/2016 ∙ by Martín Abadi, et al. ∙ 0 ∙ shareread it

Revisiting Distributed Synchronous SGD
Distributed training of deep learning models on largescale training dat...
04/04/2016 ∙ by Jianmin Chen, et al. ∙ 0 ∙ shareread it

LFADS  Latent Factor Analysis via Dynamical Systems
Neuroscience is experiencing a data revolution in which many hundreds or...
08/22/2016 ∙ by David Sussillo, et al. ∙ 0 ∙ shareread it

Improving Variational Inference with Inverse Autoregressive Flow
The framework of normalizing flows provides a general strategy for flexi...
06/15/2016 ∙ by Diederik P. Kingma, et al. ∙ 0 ∙ shareread it

Fast optimization of Multithreshold Entropy Linear Classifier
Multithreshold Entropy Linear Classifier (MELC) is a density based model...
04/18/2015 ∙ by Rafal Jozefowicz, et al. ∙ 0 ∙ shareread it

Learning to Generate Reviews and Discovering Sentiment
We explore the properties of bytelevel recurrent language models. When ...
04/05/2017 ∙ by Alec Radford, et al. ∙ 0 ∙ shareread it

Exploring the Limits of Language Modeling
In this work we explore recent advances in Recurrent Neural Networks for...
02/07/2016 ∙ by Rafal Jozefowicz, et al. ∙ 0 ∙ shareread it

Generating Sentences from a Continuous Space
The standard recurrent neural network language model (RNNLM) generates s...
11/19/2015 ∙ by Samuel R. Bowman, et al. ∙ 0 ∙ shareread it
Rafal Jozefowicz
is this you? claim profile