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Post-doc Opening at Mila: Yoshua Bengio is looking for a 2-yr postdoc sponsored by Recursion to investigate exploration and knowledge-seeking learning algorithms in drug discovery based on causal interventions and high-throughput biology (hundreds of thousands of images per week of cells receiving different treatments and analyzed via their visual appearance post-treatment). The ideal candidate has a combination of experience and interest in this topic (and generally in ML for understanding biology and drug discovery) as well as an established track record in deep learning / reinforcement learning. Please fill the form here and write to Yoshua.

Job Openings at Mila: in particular I am looking for a postdoc to oversee our humanitarian AI efforts and and supervise interns from developing countries.

My current research vision is best summarized by my recent Posner lecture at NeurIPS 2019:  From System 1 Deep Learning to System 2 Deep Learning, December 11th, 2019. Video with synchronized slides here.

Tutorial at IJCAI’2018 on Deep Learning for AI, July 13th, 2018.

Call for an International Ban on the Weaponization of Artificial Intelligence; AI Researchers ask the Canadian government to act at the UN in an open letter which you can sign too.

Video of my keynote at the first Cognitive and Computational Neuroscience conference at Columbia University on September 8, 2017.

Montreal AI Symposium

Montreal Deep Learning Summit, 10-11 Oct 2017, with Geoff Hinton, Yann LeCun and Yoshua Bengio

2017 Montreal Deep Learning Summer School and Reinforcement Learning Summer School and its video lectures 

Participation at the Beneficial AI Conference with video of my presentation.

Introductory articles in Scientific American about Deep Learning and AI.

More research highlights and selected recent papers

Nature paper on Deep Learning by Yann LeCun, Yoshua Bengio and Geoff Hinton (pdf)

NIPS’2015 Deep Learning Tutorial and the block of slides for the Vision part

NIPS’2014 Deep Learning and Representation Learning Workshop

Deep Learning – an MIT Press book now for sale here

ICLR: the International Conference on Learning Representations

2012 Review paper (published 2013 in PAMI) on Representation Learning

2012 Review paper on Practical recommendations for gradient-based training of deep architectures