Events  Deals  Jobs  NY Tech Week 2024 
    Sign in  
 
 
With Abhijit Bose (Engg Mgr on FAIR, Facebook), Lili Dworkin (Software Enggr, Facebook), Wan-Yen Lo (Research Scientist Lead, Facebook AI Research), Smriti Bhagat (Data Scientist, Facebook).
Wed, Apr 24, 2019 @ 06:30 PM   FREE   Venue, To Be Decided
 
   
 
 
              

      
 
Sign up for our awesome New York
Tech Events weekly email newsletter.
   
LOCATION
EVENT DETAILS

Speakers

01

Abhijit Bose

Title: Welcome & Overview of Facebook AI Research

Abstract: Abhijit is an Engineering Manager on FAIR at Facebook's New York office & will give an overview of Facebook's AI Research team.

02

Lili Dworkin

Title: Sequential Parameter Tuning Experiments

Abstract: Both engineers & researchers are often faced with the problem of optimizing large parameter configurations. We've developed a platform that facilitates the process of running adaptive experiments to hone in on optimum configurations.

03

Wan-Yen Lo

Title: Pushing the Limit of Computer Vision Research

Abstract: In FAIR, our ambition is to solve AI, which can only be done by actively engaging with the research community. We publish our research findings, open-source the software we develop, & present at leading conferences. In this talk, we will share our recent & exciting progress in computer vision research made possible by our newly-released software, which we hope to foster future work worldwide.

04

Smriti Bhagat

Title: A Hierarchy of Hashtags

Abstract: Some hashtags are simple like #cat, but more often, they are complex abstractions of experiences, e.g., #fromwhereistand, #plantsmakepeoplehappy. Weve developed algorithms for hierarchical representations of hashtags to study their semantic relatedness & gain a better understanding of the hashtag space.

05

Emily Dinan

Title: Grounding Dialogue in Knowledge

Abstract: In open-domain dialogue intelligent agents should exhibit the use of knowledge, however there are few convincing demonstrations of this to date. We collect a dialogue dataset grounded in knowledge & then design architectures capable of retrieving knowledge, reading & conditioning on it, & finally generating natural responses

 
 
 
 
© 2024 GarysGuide      About    Feedback    Press    Terms