This single-day, single-track event will host a variety of relevant presentations of today’s application of machine learning techniques and algorithms from experts from Google Brain, Uber, Facebook, Baidu, Tesla, & More.

Conference Schedule

8:55AM-9:00AM

Opening Remarks and Announcements

9:00AM-9:30AM

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Been Kim, Senior Research Scientist, Google Brain
9:30AM-9:55AM

Large Scale datasets for Analytics on Satellite Imagery

Gopal Erinjippurath, Director, Analytics Engineering, Planet Inc
9:55AM-10:20AM

Geospatial Machine Learning for Urban Development

Ilke Demir, Postdoctoral Researcher, Facebook
10:20AM-10:45AM

Amazon SageMaker: Infinitely Scalable Machine Learning Algorithms

Edo Liberty, Principal Scientist at AWS and Head of Amazon AI Labs
10:45AM-11:05AM

Coffee Break

10:50-11:00 Q & A with Srividya Kannan Ramachandran- Aesthetics in Synthetic Art
11:05AM-11:30PM

NL-use cases at Uber

Franziska Bell, Senior Data Science Manager on the Platform Team, Uber
11:30AM-11:55AM

Deep Learning for Product Title Summarization

Joan Xiao, Lead Machine Learning Scientist at Figure Eight
11:55AM-12:20PM

How to use Deep Learning to solve the "Fake News Problem"

Mike Tamir, Head of Data Science, Uber ATG
12:20PM-12:40PM

AI-Library: An Open Source Machine Learning Framework

Prasanth Anbalagan, Senior Software Engineer, Red Hat
12:40PM-2:00PM

Lunch Break

1:15- 1:35 Fedor Borisyuk, Technical Leader, Computer Vision, Facebook; 1:40-1:50 Q &A with Grishma Jena- Enterprise to Computer: Star Trek Chatbot
2:00PM-2:30PM

AI for Neuroscience & Neuroscience for AI

Irina Rish, Researcher, the AI Foundations- Department of the IBM T.J. Watson Research Center
2:30PM-2:55PM

Using Deep Learning to Help Pathologists Find Tumors

Yi Li, ML Research Scientist, Baidu
2:55PM-3:20PM

Manipulating and Measuring Model Interpretability

Forough Poursabzi-Sangdeh, Researcher, Microsoft Research
3:20PM-3:45PM

Equity, Inequity, and Machine Learning

Jerry Talton, Director of Data & Machine Learning, Carta
3:45PM-4:15PM

Coffee Break

3:50-4:00 Q & A with Ivan Yamshchikov & Alexey Tikhonov- RNN Generated Kurt Cobain Songs
4:15PM-4:40PM

Competition Winning Learning Rates

Dr. Leslie Smith, Senior Research Scientist, US Naval Research Laboratory
4:40PM-5:05PM

Differential Privacy in the Real World

Yevgeniy Vahlis, Head of Applied ML Research at Borealis AI
5:05PM-5:30PM

When you’re going through hell, keep going: Using machine learning to deliver Tesla Model 3s”

Michael Lindon, Senior Data Scientist, Tesla
5:30PM-5:50PM

Adopting Software Design Practices for Better Machine Learning

Jeff McGehee, Sr. Data Scientist, Very
5:50PM-6:00PM

Closing Remarks and Book Giveaway

The following sponsors made this event possible