timezone
+00:00 GMT
SIGN IN
  • Home
  • Events
  • Content
  • People
  • Messages
  • Channels
  • Help
Sign In

Humans-in-the-Loop Don't Perform Gradient Descent

Posted Jun 21
# Keynote
# Tech Talk
Share
SPEAKER
Akshat Bubna
Akshat Bubna
Akshat Bubna
Engineering @ scale

Akshat is currently an engineering manager at Scale AI, where he leads a team that is building software and systems to label text, audio and computer vision ground truth data for ML teams with incredible accuracy. He previously has worked at D. E. Shaw and database and fintech startups, and studied computer science and mathematics at MIT. A former competitive programmer, he was the first competitor from India to receive a gold medal at the IOI.

+ Read More

Akshat is currently an engineering manager at Scale AI, where he leads a team that is building software and systems to label text, audio and computer vision ground truth data for ML teams with incredible accuracy. He previously has worked at D. E. Shaw and database and fintech startups, and studied computer science and mathematics at MIT. A former competitive programmer, he was the first competitor from India to receive a gold medal at the IOI.

+ Read More
SUMMARY

Data labeling at scale is a complicated endeavor involving operations, machine learning and game theory. In this talk we focus on the game theory, and introduce a model of human-in-the-loop labeling as an optimization problem. Based on our (Scale AI’s) experience of operating tens of thousands of labelers on high complexity tasks, we will discuss how various problems predicted by the model map to observed results.

+ Read More

Watch More

34:21
Posted Jun 21 | Views 206
# Keynote
See more
Terms of Use
Privacy Policy
Powered by