Deep Learning has become a key ingredient of progress towards computers which understand and generate language, following pioneering work at MILA more than 15 years ago on neural language models. Modelling, understanding and generating language is a crucial component of artificial intelligence and progress in this field and is also likely to be economically transformative.
This one-day MILA workshop is an opportunity to share advances in this area and is being sponsored by two MILA partners, Microsoft (in particular Maluuba) and Druide.
Attendance is by invitation.
|09:00||Yi-Min Wang and Harry Shum||Opening and Welcome|
|09:15||Sam Pasupalak and Kaheer Suleman||Maluuba: Building Literate Machines|
|09:25||Adam Trischler||Machine Reading Comprehension|
|09:45||Harm van Seijen||Achieving Above-Human Performance on Ms. Pac-Man by Reward Decomposition|
|10:05||Simon Lacoste-Julien||SeaRNN: Training RNNs with Global-Local Losses|
|10:40||Jianfeng Gao||Recent Progress on MRC and Dialogue|
|11:00||Lihong Li||Recent Progress on Reinforcement Learning|
|11:20||Rangan Majumder||Machine Comprehension at Bing|
|11:40||Weizhu Chen||Conversational AI for Enterprises and its Research Challenges|
|13:30||Yoshua Bengio||Towards Deep Language Understanding|
|14:05||Alexandre de Brébisson||RNNs for Speech Synthesis|
|14:25||Rosemary Ke||Hierarchical attention for QA|
|15:00||Dmitry Bahdanau||Natural Language Understanding Challenges|
|15:20||Kian Kenyon-Dean||Event Coreference Resolution|
|15:40||Ethan Perez||Learning Visual Reasoning Without Strong Priors|
|16:00 – 16:10||Wrap-up|
The workshop will be held on September 12 2017 at Université de Montréal, in room M-415 of Roger-Gaudry building. Wing M is located to the right of the main entrance coming in from Cour d’honneur (L-4).
Address: 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4
Organizer: Yoshua Bengio