Today I’m honored to publish two high quality Deep Learning related bibliographies (in Bibtex) from Lisa Labs at University of Montreal in Canada. These bibliographies will improve Deeplearning.University a lot wrt quality and coverage (in the next update), but here they are in unaltered form available at github:
1. Bibtex for papers published by Lisa Labs (624 bibtex entries)
2. Bibtex for papers cited in papers published by Lisa Labs (3668 bibtex entries)
3. If you want to save a copy of with bibliographies above and Deeplearning.University bibliography – it can be cloned with: git clone https://github.com/memkite/DeepLearningBibliography.git
About Lisa Labs – Laboratoire d’Informatique des Systèmes Adaptatifs
Lisa Labs (Laboratoire d’Informatique des Systèmes Adaptatifs) at University of Montreal is led by Professor Yoshua Bengio – one of the pioneers of Deep Learning. He is shown together with other pioneers of Deep Learning in the image below – from left to right: Yann LeCun (NYU/Facebook), Geoffrey E. Hinton (University of Toronto/Google), Yoshua Bengio (University of Montreal), Andrew Ng (Stanford/Baidu) (Photo source: NIPS 2014, Andrew NG’s Facebook page)
Yoshua Bengio, Ian J. Goodfellow and Aaron Courville (from Lisa labs) are currently writing a Deep Learning Book. In addition to Deep Learning research papers and the book researchers Lisa Labs have created/enabled several Deep Learning related tools, e.g Theano and Pylearn2.
Call for Action: If you are a Deep Learning researcher or have good bibliographies for the field, feel free to send me an email – firstname.lastname@example.org – with the bibliography entries, or follow the instructions for how to contribute at https://github.com/memkite/DeepLearningBibliography/
Thanks to Ian Goodfellow and Yoshua Bengio for allowing me to publish and use the bibliographies for DeepLearning. University!
Amund Tveit, Memkite