Accepted Papers

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
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