HotCSE Seminar

*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************

Event Details
  • Date/Time:
    • Wednesday September 20, 2017 - Thursday September 21, 2017
      12:00 pm - 12:59 pm
  • Location: Klaus 1116 East
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    0.00
  • Extras:
    Free food
Contact

Kirsten Perez

kristen.perez@cc.gatech.edu

Summaries

Summary Sentence: HotCSE Seminar

Full Summary: No summary paragraph submitted.

Speaker:Minsuk (Brian) Kahng
Date: September 20, 2017
Time: 12:00 pm – 1:00 pm
Location: KACB 1116E

Lunch will be provided

 

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

Speaker

Minsuk (Brian) Kahng

 

Abstract

While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the recent interest in developing visual tools to help users interpret deep learning models, the complexity of models and large-scale datasets used in industry pose unique design, visualization, and system challenges that are inadequately addressed by existing work. Through participatory design sessions with over 15 researchers and engineers at Facebook, we have designed, developed, and deployed ActiVis, a visual analytics system for interpreting industry-scale deep learning models and results. By tightly integrating multiple coordinated views, such as a neuron activation matrix view for pattern discovery and comparison, users can explore complex deep neural network models at both instance- and subset-level. ActiVis has been deployed on Facebook's machine learning platform.

 

Bio

Minsuk (Brian) Kahng is a fifth year Ph.D. student, advised by Prof. Polo Chau. His research focuses on building interactive visualization tools for helping people explore and interpret machine learning and data analytics systems. His work has been presented at premier conferences, such as VAST, InfoVis, VLDB, SDM, WWW, and SIGIR. He is a recipient of the NSF graduate research fellowship and received both my master's and bachelor's degrees at Seoul National University in South Korea. His website is at http://minsuk.com/

Hot Topics in CSE ('Hot CSE') is a student-run seminar featuring a mix of tutorial and research talks primarily by CSE PhD students. It is open to all interested faculty and students.

 

Please check the Hot CSE website for more information: http://hotcse.gatech.edu

 

If you would like to give a talk, please contact Patrick Flick at patrick.flick@gatech.edu

 

Additional Information

In Campus Calendar
No
Groups

College of Computing, School of Computational Science and Engineering

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
cse, College of Computing, Georgia Tech
Status
  • Created By: Birney Robert
  • Workflow Status: Published
  • Created On: Sep 19, 2017 - 3:42pm
  • Last Updated: Sep 19, 2017 - 3:42pm