Universalizing weak supervision

During this research talk, you’ll see how researchers are pushing the boundaries of what’s possible with weak supervision.

PhD Student Changho Shin from the University of Wisconsin-Madison will discuss how a new weak supervision framework allows users to apply the technique across task types without extensive customization—and even extend weak supervision to previously inaccessible label types, such as ranking.

The talk will address:

• How weak supervision scales labeling efforts.
• How this new framework eases transitions between task types.
• How the new framework allows weak supervision to apply to new task types.