Event Information

Location

Location

HA401 (November 14th), SS1069 (November 16th)

Toronto, Ontario

Friends Who Are Going
Event description

Description

UTMIST’s Guest Speaker Series are returning on Tuesday, November 14th and Thursday, November 16th!

We are excited to invite 4 distinguishing speakers from the machine learning community in University of Toronto. They will present an overview of the latest research topics ranging from massive data handling & analysis, to the most cutting-edge deep learning techniques. If you would like to get a first-hand coverage on the development in AI/ML, you definitely cannot miss this huge event!

Please RSVP through Eventbrite to secure your space! Ticket link: https://www.eventbrite.ca/e/utmist-guest-speaker-series-registration-39612497045

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Tuesday, November 14, 2017 | HA 401 | 6:00pm - 8:00pm

- “Garbage in, garbage out: Misadventures and cautionary tales in data acquisition, handling, and analytics”
[Lauren Erdman, PhD student, UofT; Data Science Core Lead, SickKids Hospital]
Research Focus: Data integration, genome biology, and complex disease.

- “Automated analysis of high-content microscopy data with deep learning”
[Oren Kraus, PhD student, UofT PSI group]
Research Focus: High-throughput microscopy screens.

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Thursday, November 16, 2017 | SS 1069 | 6:00pm - 8:00pm

- “Few-shot Learning Through an Information Retrieval Lens”
[Eleni Triantafillou, PhD student, UofT Machine Learning group]
Research Focus: representation learning ; Few-shot learning.

- “Deep Spectral Clustering Learning”
[Marc Law, Postdoctoral, UofT Machine Learning group]
Research Focus: Deep learning; scalable machine learning; Distance metric learning in computer vision and web archiving
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Thank you for your support and looking forward to meeting you at the event!

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Location

HA401 (November 14th), SS1069 (November 16th)

Toronto, Ontario

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