Deep Learning and Reinforcement Learning Summer School 2018

July 25th – August 3rd, 2018

Desautels Hall
Rotman School of Management
University of Toronto
105 St George St
Toronto, ON, Canada
M5S 3E6

About

Deep Learning Summer School (DLSS)

July 25 – 31, 2018

Deep neural networks are a powerful method for automatically learning distributed representations at multiple levels of abstraction. Over the past decade, they have dramatically pushed forward the state-of-the-art in domains as diverse as vision, language understanding, robotics, game playing, graphics, health care, and genomics. The DLSS will cover both the foundations and applications of deep neural networks, from fundamental concepts to cutting-edge research results.

DLSS is aimed at graduate students, postdocs, and industry professionals who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research.

Organizing committee members: Yoshua Bengio, Aaron Courville, Roger Grosse, Graham Taylor

Reinforcement Learning Summer School (RLSS)

August 1 – 3, 2018

The RLSS will cover the basics of reinforcement learning and show its most recent research trends and discoveries, as well as present an opportunity to interact with graduate students and senior researchers in the field.

RLSS is intended for graduate students in Machine Learning and related fields. Participants should have advanced prior training in computer science and mathematics.

Organizing committee members: Amir-massoud Farahmand, Joelle Pineau, Doina Precup

Preference will be given to students from research labs affiliated with the CIFAR program on Learning in Machines and Brains.

The 2018 DLSS and the RLSS are hosted by the Canadian Institute For Advanced Research (CIFAR) and the Vector Institute, with participation and support from the Alberta Machine Intelligence Institute and the Institut québécois d’intelligence artificielle (MILA).

Schedule

Deep Learning Summer School (DLSS)

Time July 25

Wednesday

July 26

Thursday

July 27

Friday

July 28

Saturday

July 29

Sunday

Toronto Tourism Events

July 30

Monday

July 31

Tuesday

9:00 Machine Learning

Katherine Heller

Neural Networks II

Hugo Larochelle

Generative Models I

David Duvenaud

Theory

 

Sanjeev Arora

Toronto Experiences

https://bit.ly/2uM08IL

RNNs

 

Yoshua Bengio

Computational Neuroscience

Blake Richards

10:30 Break Break Break Break Break Break
11:00 Neural Networks I

Hugo Larochelle

Introduction to CNNs

Jonathon Shlens

Generative Models II

Phil Isola

Optimization I

Jimmy Ba

Language Understanding

Graham Neubig

Bayesian Neural Nets

Andrew Wilson

12:30 Lunch Lunch Lunch Lunch Lunch Lunch
14:30 Autodiff

 

David Duvenaud

Advanced Deep Vision

Sanja Fidler

Interpretability

Been Kim

Optimization II

Jorge Nocedal

Multi-model Learning

Jamie Kiros

Deep Learning and Music

Sageev Oore

16:00 Poster Presentations Break Break Poster Presentations Shopify Event
https://bit.ly/2tXDAFE
Poster Presentations Break
17:00 Contributed Talks I

  1. Farzaneh Mahdisoltani
  2. Davit Buniatyan
  3. Steven Cheng-Xian Li
RAMP (Practical session)

Balazs Kegl

Concurrent AI in Health Research Sessions Contributed Talks II

  1. Zafarali Ahmed
  2. Julia Kreutzer
  3. Jeff Wintersinger
Contributed Talks III

  1. James Lucas
  2. Mengye Ren
  3. Elliot Creager
 

Vector Institute AI Job & Data Fair

https://bit.ly/2zYN4pu

18:00 Welcome social Montreal AI Ecosystem Event
https://bit.ly/2lVA6yQ
Borealis AI
Event
https://bit.ly/2ljY7iL
 

 

Reinforcement Learning Summer School (RLSS)

Time August 1

Wednesday

August 2

Thursday

August 3

Friday

9:00–10:30 Introduction to RL and TD

Richard Sutton

Bandits and Explore/Exploit in RL

Tor Lattimore

Deep RL

Marc Bellemare

10:30 Break Break Break
11:00–12:30 Policy Search

Sergey Levine

Temporal Abstraction

Doina Precup

11:00-12:00

Imitation Learning

Hal Daume III

———————–

12:10-13:10

Safety in RL

Mohammad Ghavamzadeh

12:30 Lunch Lunch Lunch
14:30–16:00 Batch RL and ADP

Amir-Massoud Farahmand

14:30-15:30

Multi-task and Transfer in RL

Emma Brunskill

14:30-15:30

Multi-agent RL

Michael Bowling

16:00 Break Break Break
16:30–18:00 Off-Policy Learning

Martha White

Poster Presentations
18:30–21:30 Amii’s Alberta
Hospitality Event
https://bit.ly/2L3ZTjs 
Neural Network

Confirmed Speakers

Deep Learning Summer School (DLSS)

Reinforcement Learning Summer School (RLSS)

Neural Network

Registration & Fees

If your application was selected, you will have received an email message confirming your acceptance into DLSS and/or RLSS and inviting you to register. Please use the link in that email communication to register. If you are unable to find this email message, please contact us at info@dlrlsummerschool.ca.

Important Dates

March 2

Online applications open

March 26

Deadline to submit completed applications

May 7

Note: change of  date due to high volume of applications

Decisions communicated to all applicants and accepted applicants invited to register

 

May 14

Deadline to register and submit abstracts for poster presentations or contributed talks

June 8

Visa support letters issued

End of June

Decisions on poster presentations or contributed talks communicated to successful candidates

Selection Process

DLSS and RLSS used a scoring system to select the majority of participants. Decisions were made stochastically, and applicants with a higher score had a higher probability of being accepted. The scoring system favoured an applicant who is a graduate student and whose research area was closer to the scope of the summer school(s). It also favoured applicants who are from a Canadian university, an under-represented group, contribute to a research blog or an open-source project, and those who have not attended the schools before.

Fees

Fees will be charged at the time of registration.

DLSS

RLSS

DLSS & RLSS

Students

(If you are currently enrolled as a student or if you are a recent graduate and you are enrolled to begin another program within a year.)

$550 (CAD) $225 (CAD) $685 (CAD)

Postdocs

(If you are currently working as a Postdoc or if you are a recent graduate and have confirmed plans to start a Postdoc position.)

$550 (CAD) $225 (CAD) $685 (CAD)

Academic or not-for-profit researcher

(e.g. faculty or full-time researcher at a not-for-profit institution)

$850 (CAD) $425 (CAD) $1060 (CAD)

Other

(e.g. industry researcher, etc.)

$1500 (CAD) $750 (CAD) $1875 (CAD)

Financial Support

Limited financial support is available for students/postdocs and details will be communicated directly to accepted applicants when registration opens. Students are also encouraged to look to their affiliated institutions for additional funds to cover expenses.

Attendees

Posters

The registration form includes an option to apply to display your poster at the summer school. Decisions about poster applications will be made end of June. If you are having trouble registering or applying to display a poster, please contact us at info@dlrlsummerschool.ca

Visa Support Letters

If you have been accepted into the program and require a visa support letter to attend the summer school program, please make sure to request a letter in the registration form immediately and complete all necessary fields. Make sure to register early especially if you are travelling from a country with a longer visa processing time. Visa support letters will be issued as early as possible (or on a priority basis).

Travel & Accommodation

All travel and accommodation should be booked by the registrant directly. For recommended accommodation options, please see below:

 

University of Toronto on campus summer housing:

http://www.studentlife.utoronto.ca/hs/summer

 

Off campus accommodation:

Airbnb:

https://www.airbnb.ca/s/Toronto–Canada

 

Hotels:

Hotel & Address Phone to reserve
Chelsea hotel

33 Gerrard St. W.

Toronto, ON M5G 1Z4

1-800-243-5732
Double Tree Hilton

108 Chestnut St.

Toronto, ON M5G 1R3

416-977-5000

Special Accommodation

We are committed to ensuring equal opportunity and accessibility. If you need any special accommodations, please contact us at info@dlrlsummerschool.ca.

Childcare

If you require childcare during the summer school program, you will need to make arrangements yourself by directly contacting a childcare provider. Some suggested childcare options available to you include:

Kids & Company: 

Kids & Company will be offering child care, on a first-come first-serve basis, for conference attendees. Kids & Company is a Canadian-owned company that has been offering high-quality and flexible child care and education since 2002. All Kids & Company locations are open to attendees on the week days of the conference. The Bloor location (160 Bloor Street East Suite 160, Toronto, ON) will be the only location available on Saturday July 28 and Sunday July 29.

Our daily rates are $80/day during the week and $100/day on the weekend. Please contact Natasha Carr to get started at ncarr@kidsandcompany.com or (905) 771-1153 x 1240 and provide your child’s name, age and top 3 preferred Kids & Company locations.

If you prefer “in-house” child care where ever you are staying, contact:

Imagine That Family Care Services at 416-243-3285 or complete a care request form online.

Or

Nannies On Call

Nannies On Call offer babysitting services that can be booked by families on an as-needed basis. All of the nannies are pre-screened and are able to come to your home or hotel room to care for your child(ren).

Rate: $33 + tax (booking agency fee) and $17 per hour to care for up to 3 siblings. Payment is in cash or cheque only, in Canadian funds at the end of each appointment. All bookings are for a minimum of 4 hours.

Additional charges:

$2 per hour for each additional child from the same family

$3 per hour for each additional child from a different family

$2 per hour past midnight

To make a booking, call 647-776-0911 ext. 107 or go to the Nannies On Call online booking website.

Parking & Directions

GETTING HERE:

By TTC

Subway:

The closest subway station is St. George Station, with connecting service to Go Trains at Union Station.

Streetcar Car/Bus:

Potential routes include: 94A Hoskin Ave, 510 Spadina Ave, 506 College St, 5 Queen’s Park Cr.

 

By car

From Lester B. Pearson International Airport:

Get on ON-427 S

Follow ON-427 S and Gardiner Expressway East to Lower Spadina Avenue

Take the Spadina Avenue exit from Gardiner Expressway East

Continue on Spadina Avenue (North) towards College Street

Turn right (East) onto College Street

Turn left (North) onto St. George Street

105 St. George Street will be on the right (East side)

 

From Union Station, Toronto:

Head west on Front Street West toward University Avenue

Turn right (North) onto University Avenue

Continue onto Queen’s Park Cres E

Follow Queen’s Park Cres E turns slightly left and it becomes Queen’s Park Crescent West

Turn right (East) onto Hoskin Avenue

Turn right (North) onto St. George Street

105 St. George Street will be on the right (East side)

 

PARKING:

Rotman School of Management Building – Parking Garage

107 St George St Garage

Also Known as: Rotman /Innis Garage

Cash Parking $4.00 /half hour, $20.00 Maximum until 10pm M – F 4pm to 6:00am $10.00 Weekends $10.00 24/7 parking Pay-On-Foot gated parking lot. Take a ticket on way in and use Pay Station to pay upon exit. Lot Reserved “P” Permits

 

Impark – Parking Garage

720 Spadina Ave, Toronto, ON M5S 2J4

Parking costs $4.00 per hour, daily max $10.00 max (until 7pm). Evening/Weekend: $6.00.

 

Green P Parking – Parking Garage

7 Bedford Rd, Toronto, ON M5R 2J7

Parking rate: $3.00 / half hour. Height restriction (Approximate): 1.95 meters/ 6′ 5”. Bike racks: available.

Payment Options: Pay at Exit Lane Stations, Credit Card at Entry & Exit, Cashier

Accepted Forms of Payment: Bills, Coins, Charge (Visa / Mastercard / American Express Only)

To be notified about next year’s summer school, enter your email address here

Frequently Asked Questions

Where will the summer school take place?

Desautels Hall
Rotman School of Management
University of Toronto
105 St George St
Toronto, ON, Canada
M5S 3E6

What language will the summer schools be held in?

English.

When will decisions be made about applications?

Due to a high volume of applications, the timeline for decisions has been moved to May 7. We apologize for any inconvenience this may cause and thank you for your continued patience.

I just graduated but will be starting another program in the fall. Can I apply as a student?

You can apply as a student if you are currently enrolled as a student or if you are a recent graduate and you are enrolled to begin another program within the year.

Can I apply if I am not a student?

Most spots will be allocated to graduate students and postdocs. However, a limited number of spots will be held for full-time researchers and faculty at academic and not-for-profit institutions, as well as industry and other professionals.

Will financial support be available?

Limited financial support will be available for students and details will be communicated when registration opens. Students are also encouraged to look to their affiliated institutions for additional funds to cover expenses.

Will completion certificates be issued confirming a student’s attendance at the summer school(s)?

Yes.

Can I apply to both schools?

Yes, on the application you will have the opportunity to apply to DLSS, RLSS, or both.

I did not receive confirmation that my registration form was submitted. Did it go through?

If you did not receive a confirmation email, please contact us directly at info@dlrlsummerschool.ca

What is the DLSS/RLSS looking for?

DLSS and RLSS use a scoring system to select the majority of participants. Decisions will be made stochastically, and applicants with a higher score will have a higher probability of being accepted. The scoring system favours an applicant who is a graduate student and whose research area is closer to the scope of the summer school(s). It also favours applicants who are from a Canadian university, an under-represented group, contribute to a research blog or an open-source project, and those who have not having attended the schools before.

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