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REGISTRATION & LIGHT BREAKFAST

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Lisha Li

Lisha Li - Amplify Partners

WELCOME

VISUAL REASONING

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Aaron Courville

Aaron Courville - University of Montreal

Visual Reasoning via Feature-wise Linear Modulation

COMPUTER VISION

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Raquel Urtasun

Raquel Urtasun - Uber ATG/University of Toronto

Deep Learning for Self-Learning Cars

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Ira Kemelmacher-Shlizerman

Ira Kemelmacher-Shlizerman - Allen School of Computer Science/Facebook

Learning Lip Sync from Audio

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Roland Memisevic

Roland Memisevic - Twenty Billion Neurons

Common Sense Video Understanding at TwentyBN

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COFFEE

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Andrea Lodi

Andrea Lodi - École Polytechnique de Montréal

Learning (Discrete) Optimization

FEW-SHOT LEARNING

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Richard Zemel

Richard Zemel - Vector Institute

Learning with Little Data

REINFORCEMENT LEARNING

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Herke van Hoof

Herke van Hoof - McGill University

Stable Reinforcement Learning from Sensor Data

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LUNCH

PLENARY SESSION

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Yoshua Bengio

Yoshua Bengio - Université de Montréal

Deep Learning and Cognition

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Geoffrey Hinton

Geoffrey Hinton - University of Toronto

Dynamic Routing With Capsules

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Yann LeCun

Yann LeCun - Facebook

How Could Machines Learn as Efficiently as Animals and Humans?

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COFFEE

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Panel of Pioneers

Yoshua Bengio

Yoshua Bengio - Université de Montréal

Panellist

Geoffrey Hinton

Geoffrey Hinton - University of Toronto

Panellist

Yann LeCun

Yann LeCun - Facebook

Panellist

Joelle Pineau

Joelle Pineau - McGill University

Moderator

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Thales Group Special Announcement

Time icon 17:00

Conversation & Drinks

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LIGHT BREAKFAST

Time icon 09:00
Lisha Li

Lisha Li - Amplify Partners

WELCOME

CONVOLUTIONAL NEURAL NETWORKS

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Jean-François Lalonde

Jean-François Lalonde - Université Laval

Deep Learning for Computer Graphics: Learning to Estimate Lighting From Photographs

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Jasper Snoek

Jasper Snoek - Google Brain

Deep Learning on DNA

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Eric Humphrey

Eric Humphrey - Spotify

Advances in Deep Architectures and Methods for Separating Vocals in Recorded Music

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COFFEE

DEEP LEARNING FRAMEWORKS

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Hugo Larochelle

Hugo Larochelle - Google Brain

Generalizing From Few Examples With Meta-Learning

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Kyunghyun Cho

Kyunghyun Cho - New York University

Deep Learning, Where Are You Going?

SPEECH RECOGNITION

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Alex Acero

Alex Acero - Apple

Deep Learning in Speech Recognition

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Greg Diamos

Greg Diamos - Baidu

The Next Generation of AI Chips

VISUAL CLASSIFICATION

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Sanja Fidler

Sanja Fidler - University of Toronto

Towards Perceptual Machines That See, Converse, and Reason

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LUNCH

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Bryan Russell

Bryan Russell - Adobe Research

Learning from Video: Recognizing Actions and Localizing Moments with Natural Language

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Jianchao Yang

Jianchao Yang - Snap Inc

Unsupervised Domain Adaptation with Adversarial Network

NEURAL NETWORK MODELS & ARCHITECTURES

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David Duvenaud

David Duvenaud - University of Toronto

Composing Graphical Models With Neural Networks for Structured Representations and Fast Inference

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Joan Bruna

Joan Bruna - New York University

Divide and Conquer Networks

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END OF SUMMIT

WOMEN IN MACHINE INTELLIGENCE DINNER

WOMEN IN MACHINE INTELLIGENCE DINNER - Le Richmond Marche Italien

Great Food & Networking - 6.30-10pm (Pre-registration needed)

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Day 1

Shyam Thyagaraj - Accenture

Stepping Stones in an AI Strategy for the Workplace

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Day 2

David Sadek - Thales

Explainable by Design AI Is the Real Challenge

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Day 2

Adel el-Hallak - IBM

Journey to the Cognitive Era with IBM - How to leverage Deep Learning to win the AI Arms Race

Time icon 13:40
Day 2

Michael Gschwind - IBM

Journey to the Cognitive Era with IBM - How to leverage Deep Learning to win the AI Arms Race


*Please note the agenda is subject to change

Download Schedule PDF

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