44 min listen
Albert, Seinfeld, and Explainable AI
FromJournal Club
ratings:
Length:
36 minutes
Released:
Mar 22, 2020
Format:
Podcast episode
Description
Kyle discusses Google's recent open sourcing of ALBERT, a variant of the famous BERT model for natural language processing. ALBERT is more compact and uses fewer parameters. George leads a discussion about the paper Explainable Artificial Intelligence: Understanding, visualizing, and interpreting deep learning models by Samek, Wiegand, and Muller. This work introduces two tools for generating local interpretability and a novel metric to objectively compare the quality of explanations. Last but not least, Lan talks about her experience generating new Seinfeld scripts using GPT-2.
Released:
Mar 22, 2020
Format:
Podcast episode
Titles in the series (27)
Chess Transformer, Kaggle Scandal, and Interpretability Zoo: Welcome to a brand new show from Data Skeptic entitled "Journal Club". Each episode will feature a regular panel and one revolving guest seat. The group will discuss a few topics related to data science and focus on one featured scholarly paper which... by Journal Club