Trends in Machine Learning & Deep Learning with Zack Lipton

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we kick off our 2019 AI Rewind Series joined by Zack Lipton, a jointly appointed Professor in the Tepper School of Business and the Machine Learning Department at CMU.

You might remember Zack from our conversation earlier this year, “Fairwashing” and the Folly of ML Solutionism, which you can find here. In our conversation, Zack recaps advancements across the vast field of Machine Learning and Deep Learning, including trends, tools, research papers and more.

We want to hear from you! Send your thoughts on the year that was 2019 below in the comments, or via Twitter at @samcharrington or @twimlai.

To follow along with the 2019 AI Rewind Series, head over to the series page!

About Zack

Mentioned in the Interview

  • Do CIFAR10 classifiers generalize to CIFAR10?
  • Do ImageNet Classifiers generalize to ImageNet?
  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  • The Disparate Effects of Strategic Manipulation
  • The Social Cost of Strategic Classification
  • Invariant Risk Minimization
  • Your classifier is secretly an energy-based model and you should treat it like one?
  • Learning the difference that makes a difference with counterfactually-augmented data
  • Check it out

    “More On That Later” by Lee Rosevere licensed under CC By 4.0

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