Accepted Papers 2017

Posters

Contribution ID	Title	Name of Authors
11	Robustness To Adversarial Examples Through An Ensemble Of Specialists	Mahdieh Abbasi, Universite Laval; Christian Gagne, Universite Laval
12	Prediction of Depression from User-generated Content in Social Media	Hayda Almeida, UQAM; Antoine Briand, UQAM; Diego Maupomé, UQAM; Marie-Jean Meurs, UQAM
13	Attentive Encoder Decoder dialogue system on the Ubuntu domain	Nicolas Angelard-Gontier, McGill & Nuance Communications ; Joumana Ghosn, Nuance Communications
14	A Closer Look at Memorization in Deep Networks	Devansh Arpit, MILA; Stanisław Jastrzębski, Jagiellonian University; Nicolas Ballas, MILA; David Krueger, MILA; Emmanuel Bengio, McGill; Maxinder S Kanwal, University of California; Tegan Maharaj, MILA; Asja Fischer, University of Bonn; Aaron Courville, MILA; Yoshua Bengio, MILA; Simon Lacoste-Julien, MILA
15	Unifying Multi-Step Methods through Matrix Splitting	Pierre-Luc Bacon, McGill; Doina Precup, McGill
16	Learning to Compute Word Embeddings On the Fly	Dzimitry Bahdanau, University of Montreal; Tom Bosc, University of Montreal; Stanisław Jastrzębski, Jagiellonian University; Edward Grefenstette, DeepMind; Pascal Vincent, University of Montreal; Yoshua Bengio, University of Montreal
17	Multi-label Semi-Supervised Classification of Social Media Documents applied via Different Machine Learning Algorithms	Billal Belainine, UQAM; Alexsandro Fonseca, UQAM; Fatiha Sadat, UQAM; Hakim Lounis, UQAM
18	Learning how the world works by unsupervised RL to disentangle independently controllable factors	Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio
19	Analog electronics for efficient neural network computation	Jonathan Binas, MILA; Daniel Neil, University of Zurich and ETH Zurich; Michael Pfeiffer, University of Zurich and ETH Zurich; Giacomo Indiveri, University of Zurich and ETH Zurich; Shih-Chii Liu, University of Zurich and ETH Zurich; Yoshua Bengio, MILA
20	Unsupervised induction of natural-language dependency structures	Chris Bruno, McGill University; Eva Portelance, Stanford University; Timothy J. O’Donnell, McGill University
21	Count-ception: Counting by Fully Convolutional Redundant Counting	Joseph Paul Cohen, University of Montreal
22	Chocolate — Black-Box Optimization for All	François-Michel De Rainville, NovaSyst; Olivier Gagnon, NovaSyst; Alexandre Vallières, NovaSyst; André Villemaire, NovaSyst
23	Reinforcement Learning as a Production Tool on AAA Games	Olivier Delalleau, Ubisoft Montreal; Adrien Logut, Ubisoft Montreal
24	Automatic Quality Control of infant MRI using a Convolutional Neural Network	Andrew Doyle, McGill Centre for Integrative Neuroscience, Montreal Neurological Institute; Paule-Joanne Toussaint, McGill Centre for Integrative Neuroscience, Montreal Neurological Institute; Greg Luneau, McGill Centre for Integrative Neuroscience, Montreal Neurological Institute; D. Louis Collins, Image Processing Laboratory, Montreal Neurological Institute; Alan C. Evans, McGill Centre for Integrative Neuroscience, Montreal Neurological Institute
25	Data imputation with latent variable models	Michal Drozdzal, MILA, Imagia; Mohammad Havaei, MILA, Imagia; Chin-Way Huang, MILA; Laurent Charlin, MILA; Nicolas Chapados, Imagia, ElementAI; Aaron Courville, MILA;
26	Streaming kernel regression with unknown variance	Audrey Durand, Laval University; Odalric-Ambrym Maillard, INRIA; Joelle Pineau, McGill University
27	Deep Indoor Illumination	Marc-André Gardner, Université Laval; Christian Gagné, Université Laval; Jean-François Lalonde, Université Laval;
28	To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk	Roger Girgis, McGill University; Manfred Diaz, Concordia University;
29	A Deep Neural Network Approach To Parallel Sentence Extraction	Francis Grégoire, RALI – Université de Montréal, Philippe Langlais, RALI – Université de Montréal
30	Memory Augmented Neural Networks with Wormhole Connections	Caglar Gulcehre, Deepmind; Sarath Chandar, University of Montreal; Yoshua Bengio, University of Montreal;
31	Asynchronous Advantage Option-Critic with Deliberation Cost	Jean Harb, McGill University; Pierre-Luc Bacon, McGill University; Doina Precup, McGill University
32	Recurrent Semi-Supervised Encoder-Multi-Decoder Networks for Motion Capture	Félix G. Harvey, Polytechnique Montreal & Montreal Institute for Learning Algorithms; Chrisopher Pal Polytechnique Montreal & Montreal Institute for Learning Algorithms
33	Deep Outdoor Illumination Estimation	Yannick Hold-Geoffroy, Université Laval; Kalyan Sunkavalli, Adobe; Sunil Hadap, Adobe; Emiliano Gambaretto Adobe; Jean-François Lalonde, Université Laval
34	Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control	Riashat Islam, McGill University; Peter Henderson, McGill University; Maziar Gomrokchi, McGill University; Doina Precup, McGill University
35	CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance	Andrew Jesson, Imagia; Nicolas Guizard, Imagia; Sina Hamidi, Imagia; Damien Goblot, Imagia; Florian Soudan, Imagia; Nicolas Chapados, Imagia
36	parse Attentive Backtracking: Towards Efficient Credit AssignmentIn Recurrent Network	Nan Rosemary Ke, MILA, Polytechnique Montreal; Alex Lamb, MILA, University of Montreal; Anirudh Goyal, MILA, University of Montreal; Olexa Blaniuk, MILA, University of Montreal; Chris Pal, MILA, Polytechnique Montreal; Yoshua Bengio, MILA, University of Montreal
37	Conditional Hierarchical Passage Encodersfor Question Answering	Nan Rosemary Ke, MILA, Polytechnique Montreal; Alessandro Sordoni, Microsoft Maluuba; Zhouhan Lin, MILA, University of Montreal; Yoshua Bengio, MILA, University of Montreal; Laurent Chardlin, MILA, University of Montreal; Chris Pal, MILA, Poyltechnique Montreal
38	Deconstructive Defense against adversarial attacks	Nan Rosemary Ke, MILA, Polytechnique Montreal; Chin-wei Huang, MILA, University of Montreal; Chris Pal, MILA, Polytechnique Montreal
39	Clustering-Oriented Regularization in Neural Networks: Perspectives for Improving Representation Quality	Kian Kenyon-Dean, McGill University; Jackie Cheung, McGill University; Doina Precup, McGill University
40	Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks	Farkhondeh Kiaee, Université Laval; Christian Gagné, Université Laval; Mahdieh Abbasi, Université Laval
41	Bayesian Hypernets	David Krueger, MILA; Chin-wei Huang, MILA; Riashat Islam, McGill; Ryan Turner, MILA; Aaron Courville, MILA
42	Deep Prior	Alexandre Lacoste, Element AI; Thomas Boquet, Element AI; Boris Oreshkin, Element AI; Wonchang Chung, Element AI; Negar Rostamzadeh, Element AI; Vincent Dumoulin, Element AI; Aaron Courville, Element AI.
43	Intelligent cognitive assistants: Detection of critical user states and learning of expert decision rules	Daniel Lafond, Thales Research & Technology Canada; Jean-François Gagnon, Thales Research & Technology Canada; Nicolas Déry, Université Laval; Mark Parent, Université Laval; Sébastien Tremblay, Université Laval
44	Using the gradients’ covariance to improve training and generalization error	Nicolas Le Roux, Google Brain
46	SeaRNN: Training RNNs with Global-Local Losses	Remi Leblond, Inria / ENS Paris; Jean-Baptiste Alayrac, Inria / ENS Paris; Anton Osokin, Inria / ENS Paris; Simon Lacoste-Julien, MILA Université de Montréal
47	Bayesian Optimization for Conditional Hyperparameter Spaces	Julien-Charles Lévesque, Université Laval; Audrey Durand, Université Laval; Christian Gagné, Université Laval; Robert Sabourin, École de technologie supérieure
48	MIO-TCD: A new benchmark dataset for vehicle classification and localization	Zhiming Luo, Université de Sherbrooke, Frederic B.-Charron, Université de Sherbrooke, Carl Lemaire, Université de Sherbrooke, Janusz Konrad, Boston University, Shaozi Li, University of Xiamen, Akshaya Mishra, Miovision, Andrew Achkar, Miovision, Justin Eichel, Miovision, Pierre-Marc Jodoin, University of Sherbrooke.
49	Imitation Upper Confidence Bound for Bandits on a Graph	Andrei Lupu, Reasoning and Learning Lab, McGill; Doina Precup, Reasoning and Learning Lab, McGill
50	Reconnaissance d’activités et de plans appliquée à un robot-assistant pour les activités quotidiennes	Jean Massardi, UQAM ; Mathieu Gravel, UQAM ; Éric Beaudry, UQAM
51	Montreal Forced Aligner: trainable text-speech alignment using Kaldi	Michael McAuliffe, McGill Linguistics; Michaela Socolof, University of Maryland Linguistics; Sarah Mihuc, McGill Linguistics; Michael Wagner, McGill Linguistics; Morgan Sonderegger, McGill Linguistics
52	Robotic Vision for Industrial Robots	Jean-Philippe Mercier, Université Laval; Philippe Giguère, Université Laval
53	Unsupervised Extractive Summarization of Legal Text Using Probabilistic Modeling of Semantic Space	Isar Nejadgholi, Miralaw Inc.; Renaud Bougueng, Miralaw Inc.; Samuel Witherspoon, Miralaw Inc.
54	Coveo AI™ – Scalable Machine Learning Platform for Information Retrieval	Sébastien Paquet, Coveo; Jean-Francis Roy, Coveo; Michel Lemay, Coveo
55	Multitask Spectral Learning of Weighted Automata	Guillaume Rabusseau, McGill University; Borja Balle, Amazon Research; Joelle Pineau, McGill University
56	ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events	Evan Racah, Lawrence Berkeley Labs; Christopher Beckham, MILA; Tegan Maharaj, MILA; Prabhat, Lawrence Berkeley Labs; Samira Kahou, Microsoft; Christopher Pal, MILA
57	Real-Time Stable Style Transfer for Videos	Jeffrey Rainey, Element AI; Philippe Beaudoin, Element AI
58	Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy	Louis-Émile Robitaille, Université Laval; Audrey Durand, Université Laval; Marc-André Gardner, Université Laval; Christian Gagné, Université Laval; Paul De Koninck, Université Laval; Flavie Lavoie, Université Laval
59	A Frame Tracking Model for Memory-Enhanced Dialogue Systems	Hannes Schulz, Microsoft Maluuba; Jeremie Zumer, Microsoft Maluuba; Layla El Asri, Microsoft Maluuba; Shikhar Sharma, Microsoft Maluuba;
60	Twin Networks: Using the Future as a Regularizer	Dmitriy Serdyuk, MILA, University of Montreal; Rosemary Nan Ke, MILA, Polytechnique Montreal; Alessandro Sordoni, Microsoft Maluuba; Chris Pal, MILA, Polytechnique Montreal; Yoshua Bengio, MILA, university of Montreal
61	Variational Inference for Unsupervised Lexicon Learning	Elias Stengel-Eskin, McGill; Emily Kellison-Linn, McGill; Timothy J. O’Donnell, McGill
62	A new policy based RL algorithm with reduced bias and variance	Jayakumar Subramanian, McGill University; Aditya Mahajan, McGill University
63	Coordinated Multi-Agents Patrolling Algorithms	Najmeh Taleb, School of Computer Science, Carleton University, Ottawa, Ontario; Evangelos Kranakis, School of Computer Science, Carleton University, Ottawa, Ontario; Jurek Czyzowicz, Dept. d’informatique, Univ. du Quebec en Outaouais, Gatineau, Quebec;
64	Learning Salient Features in Convolutional Neural Networks for Object Recognition	Ludovic Trottier, Laval University; Philippe Giguère, Laval University; Brahim Chaib-draa, Laval University
65	MACA: A Modular Architecture for Conversational Agents	Hoai Phuoc Truong, McGill University; Prasanna Parthasarathi, McGill University; Joelle Pineau, McGill University
67	On orthogonality and learning recurrent networks with long term dependencies	Eugene Vorontsov, MILA; Chiheb Trabelsi, MILA; Samuel Kadoury, Ecole Polytechnique de Montreal; Christopher Pal, MILA
68	Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting	Di Wu, McGill University; Boyu Wang Princeton University;Doina Precup, McGill University; Benoit Boulet McGill University
69	Learning High Dynamic Range from Outdoor Panoramas	Jinsong Zhang, Université Laval; Jean-François Lalonde, Université Laval;
70	GridNet with automatic shape prior registration for automatic MRI cardiac segmentation	Clément Zotti, Université de Sherbrooke, Zhiming Luo, Université de Sherbrooke, Alain Lalande, Université de Bourgogne, Olivier Humbert, Centre Antoine Lacassagne, Pierre-Marc Jodoin, Université de Sherbrooke