Deep Learning Summit Montreal: Agendas, Schedules, and other Details

Today marks the beginning of the two-day tech event Deep Learning Summit Montreal!

Since 2015, RE•WORK, an all-female events-organizing company has been putting together events that bring “together breakthrough technology, cutting-edge science, and entrepreneurship shaping the future of business and society.” This year, the company will be bringing a summit to Canada for the first time with Deep Learning Summit Montreal.

The Deep Learning Summit Montreal is mainly designed to accommodate:

Data scientists
Data engineers
Machine learning scientists
CTOs
Founders
Engineering Directors
CEOs
Other individuals involved with deep learning

The event will serve as an opportunity for attendees to discover advances in deep learning algorithms and methods from the pioneers who are currently paving the way to improve its research studies.

#reworkDL Summit Montreal is kicking off today! Are you attending?Click To Tweet

In addition to that, the Summit will also enable each individual to learn from leading innovators in deep learning frameworks, neural networks, transfer learning, GPUs, and many more.

From a global roster of experts, Summit attendees will learn the latest progress towards technological advancements. Furthermore, the Deep Learning Summit Montreal will explore the newest machine learning findings and real-world impact of deep learning.

It will also be a good way for data scientists and other researchers to expand their network through interaction with academic leaders, influential technologists, other data scientists, and founders of today’s leading deep learning institutions.

The Summit will cover topics such as:

Neural networks
NLP
Computer vision
Pattern recognition
Speech recognition
AI Assistants
Image retrieval
Autonomous vehicles

The 2017 Deep Leaning Summit Montreal will be held at the Hyatt Regency Montreal in downtown Montreal’s Quartier des spectacles. It will be a two-day event starting today, October 10th to 11th.

Deep Learning Summit Montreal: Speakers

The Deep Learning Summit Montreal is divided into two tracks: Track 1 Research and Advancements and Track 2 Business Applications.

The welcoming note for Track 1 will be delivered by Siraj Khaliq, a Partner at Atomico, Europe’s largest entrepreneur-led independent VC fund. Track 2 opening note will be delivered by Lisha Li, a Principal at Amplify Partners.

Speakers for Track 1 include:

Yoshua Bengio, Full Professor, Université de Montréal
Yann Lecun, Director of AI Research, Facebook
Geoffrey Hinton, Professor, University of Toronto
Aaron Courville, Assistant Professor, University of Montreal
Roland Memisevic, Chief Scientist, Twenty Billion Neurons
Greg Diamos, Senior Researcher, Baidu
Joelle Pineau, Associate Professor, McGill University
Bryan Russell, Research Scientist, Adobe Research
Lisha Li, Principal, Amplify Partners
Herke Van Hoof, Post-Doctoral Fellow, McGill University
Alex Acero, Senior Director of Siri, Apple
Shyam Thyagaraj, Managing Director in Technology, Accenture
Eric Humphrey, Research Scientist, Spotify
Joan Bruna, Assistant Professor, new York University
Jean-Francois Lalonde, Assistant Professor, Université Laval
Andrea Lodi, Professor, École Polytechnique de Montréal
Richard Zemel, Co-Founder & Director of Research, Vector Institute
Jasper Snoek, Research Scientist, Google Brain
David Duvenaud, Assistant Professor, University of Toronto
Sanja Fidler, Assistant Professor, University of Toronto
Hugo Larochelle, Research Scientist, Google Brain
Raquel Urtasun, Head, Uber ATG/ University of Toronto
Kyunghyun Cho, Assistant Professor of Computer Science and Data Science, new York University
Ira Kemelmacher-Shlizerman, Assistant Professor, Allen School of Computer Science/ Facebook
Adel El-Hallak, Director of Product Management for Deep Leaning, IBM
David Sadek, Vice President of Research & Technology, Thales
Jianchao Yang, Lead Research Scientist, Snap Inc.
Michael Gschwind, Chief Engineer, Machine Learning and Deep Learning, IBM

Speakers for Track 2 include:

Shameer Khader, Program Director of Machine Learning & Data Science, Northwell Health
Illia Polosukhin, Co-Founder & CTO, NEAR.AI
Benoit Julien, IT Advisor, National Research Council Canada
Nima Shabazi, Co-Founder, Deepnify
Gary Brotman, Director, AI Product Management, Qualcomm Technologies
David Sadekm, Vice President, Research & Technology, Thales
Lakshmi Subramanian, Co-Founder, Entrupy
Augustin Marty, Co-Founder & CEO, Deepomatic
Alexandre Le Bouthillier, CEO, Imagia
Hanlin Tang, Staff Algorithms Engineer, Intel
Dimitry Kislyuk, Engineering Manager, Pinterest
Bassem Monla, AI Subject Matter Expert, IM Quebec
Samir Kumar, Managing Director, Microsoft Ventures
Clement Farabet, VP of AI Infrastructure, NVIDIA
Alessandro Magnani, Distinguished Data Scientist, Walmart Labs
Joaquin Quinonero Candela, Director of Applied Machine Learning, Facebook
Sam Zimmerman, CTO, Freebird
Geoffrey Hinton, Professor, University of Toronto
Miles Lynams-Smith, Chief Programme Owner, Deutsche Telekom
Doina Precup, Associate Professor, McGill University
Kaheer Suleman, CTO & Co-Founder, Maluuba
Maithili Mavinkurve, Founder & COO, Sighline Innovation
Wally Trenholm, Founder & CEO, Sightline Innovation

Other speakers will be introduced during the event.

Deep Learning Summit Montreal: Agenda

October 10th

Track 1

Registration & Light Breakfast
Welcome Note
Deep Leaning in Production
The Commercialization of Deep Learning
The Commercialization of Deep Learning
IBM Watson Deep Learning: From Research to Real Applications
Industry-Grade Deep Learning
Launching AI in Enterprise: Success Factors
How AI Will Shift Operations From ‘Command & Control’ to ‘Learn & Adapt’
Plenary Session
Deep Learning and Cognition
Dynamic Routing With Capsules
How Could Machines Learn as Efficiently as Animals and Humans?
Panel of Pioneers
Thales Group Special Announcement
Conversation & Drinks

Track 2 (Happening at the same )

Registration & Light Breakfast
Welcome Note
Visual Reasoning via Feature-wise Linear Modulation
Deep Learning for Self-Learning Cars
Learning Lip Sync from Audio
Common Sense Video Understanding at TwentyBN
Learning (Discrete) Optimization
Learning with Little Data
Stable Reinforcement Learning from Sensor Data
Deep Learning and Cognition
Dynamic Routing With Capsules
How Could Machines Learn as Efficiently as Animals and Humans?
Panel of Pioneers
Thales Group Special Announcement
Conversation & Drinks

October 11th

Track 1

Light Breakfast
Welcome Note
The Goldilocks Principle of Data Engineering
Why Do Corporations Need to Own Their Data?
Imaging Precision Medicine, Beyond Deep Learning models
Trustworthy Deep Learning
PANEL: The Deep Learning EcoSystem in Montreal
Visual Search in the Deep Learning Era
Building AI-Powered Social Infrastructure at Facebook Scale
Saving Hearts Using Artificial Intelligence
Mobile Innovation – The Key to AI @ The Edge
Use Case Within Retail: Deep Learning @WalmartLabs
Reducing Demand Forecast Error with Deep Learning
Writing Programming Code with Deep Learning
END OF SUMMIT

Track 2

Light Breakfast
Welcome note
Deep Learning for Computer Graphics: Learning to Estimate Lighting From Photographs
Deep Learning on DNA
Advances in Deep Architectures and Methods for Separating Vocals in Recorded Music
Generalizing From Few Examples With Meta-Learning
Deep Learning, Where Are You Going?
Deep Learning in Speech Recognition
The Next Generation of AI Chips
Towards Perceptual Machines That See, Converse, and Reaso
Learning from Video: Recognizing Actions and Localizing Moments with Natural Language
Unsupervised Domain Adaptation with Adversarial Network
Composing Graphical Models With Neural Networks for Structured Representations and Fast Inference
Divide and Conquer Networks
END OF SUMMIT