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- Rami Al-Rfou', Guillaume Alain, +109 authors Ying Zhang
- ArXiv
- 2016

Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements. Theano is being actively… (More)

- Vincent Dumoulin, Ishmael Belghazi, +4 authors Aaron C. Courville
- ArXiv
- 2016

We introduce the adversarially learned inference (ALI) model, which jointly learns a generation network and an inference network using an adversarial process. The generation network maps samples from stochastic latent variables to the data space while the inference network maps training examples in data space to the space of latent variables. An adversarial… (More)

- Alex Lamb, Michael J. Paul, Mark Dredze
- HLT-NAACL
- 2013

Twitter has been shown to be a fast and reliable method for disease surveillance of common illnesses like influenza. However, previous work has relied on simple content analysis, which conflates flu tweets that report infection with those that express concerned awareness of the flu. By discriminating these categories, as well as tweets about the authors… (More)

The Teacher Forcing algorithm trains recurrent networks by supplying observed sequence values as inputs during training and using the network’s own one-stepahead predictions to do multi-step sampling. We introduce the Professor Forcing algorithm, which uses adversarial domain adaptation to encourage the dynamics of the recurrent network to be the same when… (More)

Humans are able to accelerate their learning by selecting training materials that are the most informative and at the appropriate level of difficulty. We propose a framework for distributing deep learning in which one set of workers search for the most informative examples in parallel while a single worker updates the model on examples selected by… (More)

- Alex Lamb, Vincent Dumoulin, Aaron C. Courville
- ArXiv
- 2016

We explore the question of whether the representations learned by classifiers can be used to enhance the quality of generative models. Our conjecture is that labels correspond to characteristics of natural data which are most salient to humans: identity in faces, objects in images, and utterances in speech. We propose to take advantage of this by using the… (More)

- Alex Lamb, Michael J. Paul, Mark Dredze
- AAAI Fall Symposium: Information Retrieval and…
- 2012

Introduction Public health policies combatting the spread of infectious disease rely on bio-surveillance systems for coordinating responses such as vaccination programs. Classical epidemiology assumes that population behavior remains constant during an epidemic. However, the public response to an epidemic can have a serious impact on an epidemic’s course.… (More)

A recognized obstacle to training undirected graphical models with latent variables such as Boltzmann machines is that the maximum likelihood training procedure requires sampling from Monte-Carlo Markov chains which may not mix well, in the inner loop of training, for each example. We first propose the idea that it is sufficient to locally carve the energy… (More)

- Mark E Laidre, Alex Lamb, Susanne Shultz, Megan Olsen
- Journal of theoretical biology
- 2013

Information from others can be unreliable. Humans nevertheless act on such information, including gossip, to make various social calculations, thus raising the question of whether individuals can sort through social information to identify what is, in fact, true. Inspired by empirical literature on people's decision-making when considering gossip, we built… (More)

- Joshua L Chan, Taryne Imai, +5 authors Eric J Ley
- The American surgeon
- 2014

Patients sustaining traumatic injuries are at risk for development of rhabdomyolysis. The effect of obesity on this risk is unknown. This study attempted to characterize the role of obesity in the development of rhabdomyolysis after trauma. This was a retrospective review of all trauma patients with creatine kinase (CK) levels admitted to the surgical… (More)