Paper Series "mixup: Beyond Empirical Risk Minimization" -Deep Learning-Raleigh

Loose Schedule:
10:00am - 11:00am | Office hours, bring your questions and problems
11:00am - 12:00pm | Discuss the paper "mixup: Beyond Empirical Risk Minimization"
12:00pm - 1:00pm | Study, work on a project, or kaggle competition

Interested in learning to read ML/Deep Learning papers? Do you have a favorite? Something you want to implement? Bring your suggestions! The group will reading, discussing, and even implementing interesting papers from arxiv.

Every other week, the group will read through a paper and designate a person to lead the discussion on the concepts covered in the paper. In the weeks between, we'll implement the paper from the previous week on various datasets and discuss our experiences. The goal is to find useful techniques that work well generally on machine learning problems.

Today we will be discussing the first paper in our reading series! Please read the paper prior to the event, bring your ideas, questions and thoughts to share.
"mixup: Beyond Empirical Risk Minimization" - FAIR (Facebook AI Research)
https://arxiv.org/abs/1710.09412

Everyone is welcome.