MILA is Hiring Two Software Engineers

MILA lab from University of Montreal is looking for a software developer and another software developer with machine learning experience to hire. Those software enginners will help and improve the software libraries such as Theano and work on other related tasks.

If you are interested, please apply by going to this web site and look for the [...]

OpenAI: A new non-profit AI company

A new non-profit artificial intelligence research company has just been founded. According to the announcement made from the company’s website, the goal of the company is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Announcement was made on the [...]

Conference on the Economics of Machine Intelligence-Dec 15

The Creative Destruction Lab at the University of Toronto is hosting a conference on the Economics of Machine Intelligence on December 15 in Toronto: “Machine Learning and the Market for Intelligence.”

This meeting is not a computer science conference. The focus is on the business opportunities that ML is spawning: what has already happened, trends, and how [...]

Open Discussion of ICLR 2016 Papers is Now Open

Open discussion of #ICLR2016 submissions is now open:

https://cmt.research.microsoft.com/ICLR2016Conference/Protected/PublicComment.aspx

Access requires a CMT account. If you don’t have one already, go here:

https://cmt.research.microsoft.com/ICLR2016Conference/Public/SignUp.aspx

Note that the assigned reviewers and area chair of each paper will be encouraged to consider the public comments in their evaluation of submissions.
Your comments will thus be very useful and appreciated!

 

Hugo Larochelle’s [...]

Software Developer Position at MILA

At MILA (Montreal Institute for Learning Algorithms), we are looking for a software developer to help us improving our software libraries (mostly Theano) and other related tasks.

This is a one year contract, full time position.
The duration of the contact could be extended depending on available funding.
If you are interested, please send your CV to [...]

Deep Learning Summer School 2015 Videos

The videos of the recently organized “Deep Learning Summer School 2015″ in Montreal are made available online on [...]

Long Short-Term Memory dramatically improves Google Voice etc – now available to a billion users

A type of “Recurrent neural networks” architecture initially developed in Juergen Schmidhuber’s research groups at the Swiss AI Lab IDSIA and TU Munich greatly improved Google Voice (by 49%) and are now available to a billion users. You can find the recent Google Research Blog on this, by Haşim Sak, Andrew Senior, Kanishka Rao, Françoise Beaufays [...]

A Brief Summary of the Panel Discussion at DL Workshop @ICML 2015 by Kyunghyun Cho

You can also access original post from Kyunghyun Cho’s blog, DeepRNN .

Overview

The finale of the Deep Learning Workshop at ICML 2015 was the panel discussion on the future of deep learning. After a couple of weeks of extensive discussion and exchange of emails among the workshop organizers, we invited six panelists; Yoshua Bengio (University of Montreal), [...]

Call For Papers: ICLR 2015

3rd International Conference on Learning Representations (ICLR2015)

Website: http://www.iclr.cc/ Submission deadline: December 19, 2014 Location: Hilton San Diego Resort & Spa, May 7-9, 2015

Overview

It is well understood that the performance of machine learning methods is heavily dependent on the choice of data representation (or features) on which they are applied. The rapidly developing field of representation learning is concerned [...]

Google’s Entry to ImageNet 2014 Challenge

Imagenet 2014 competition is one of the largest and the most challenging computer vision challenge. This challenge is held annually and each year it attracts top machine learning and computer vision researchers. Neural networks, specifically convolutional neural networks again made a big impact on the result of this year’s challenge [1]. Google’s approach won the classification [...]