Journal Club  By  cover art

Journal Club

By: Data Skeptic
  • Summary

  • 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 is discussed in detail.
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Episodes
  • Science Fiction, Training Thousands at Home, and AutoML-Zero
    Sep 16 2020

    This week we are back with our regular panelists! Kyle brings us a short article exploring science fiction impacting AI titled "Survey Finds Science Fiction One of Many Factors Impacting Views of AI Technology." George brings us an article about using thousands fo computers from universities, companies and volunteers to train one huge transformer,  titled "Train Vast Neural Networks Together." Last but not least Lan brings us the paper this week! She discusses the paper "AutoML-Zero: Evolving Machine Learning Algorithms From Scratch."

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    31 mins
  • DNA Storage, Assessing COVID-19 Risks, and NLP Beyond English
    Sep 10 2020

    We are back with other guest this week! We have NLP/ML research scientist, Fredrik Olsson joining us. He discusses the work "Why You Should Do NLP Beyond English." Lan brings us a news item, "Research News: DNA Storage." George talks about the article "Discovering Symbolic Models from Deep Learning with Inductive Biases." Last but not least, Kyle brings us the paper this week. He brings the paper, "Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt."

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    53 mins
  • Sound Detection, Exam Algorithm, and Search Result Fairness
    Sep 1 2020

    Rachel Bittner, a research scientist at Spotify, joins us in our discussion this week! She brings us the paper "Few-Shot Sound Event Detection." Lan discusses an article about fairness of search results. George talks about a blog post from England about an algorithm grading exams and the controversy around it. Last but not least, Kyle brings us an article titled "Eye-Catching Advances in Some AI Fields are not Real."

     

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    41 mins

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