7 episodes

Listen along as we try and dissect various Machine Learning papers that just haven't got the love and attention they deserve.Twitter: https://twitter.com/underrated_mlVoting Page: https://forms.gle/97MgHvTkXgdB41TC8

Underrated ML Sara Hooker & Sean Hooker

    • Technology

Listen along as we try and dissect various Machine Learning papers that just haven't got the love and attention they deserve.Twitter: https://twitter.com/underrated_mlVoting Page: https://forms.gle/97MgHvTkXgdB41TC8

    Anna Huang - Metaphor generation and ML for child welfare

    Anna Huang - Metaphor generation and ML for child welfare

    We open season two of Underrated ML with Anna Huang on the show. Anna Huang is a Research Scientist at Google Brain, working on the Magenta project. Her research focuses on designing generative models to make creating music more approachable. She is the...

    • 1 hr 13 min
    Stephen Merity - Strongly typed RNNs and morphogenesis

    Stephen Merity - Strongly typed RNNs and morphogenesis

    We conclude season one of Underrated ML by having Stephen Merity on as our guest. Stephen has worked at various institutions such as MetaMind and Salesforce ohana, Google Sydney, Freelancer.com, the Schwa Lab at the University of Sydney, the team at...

    • 1 hr 33 min
    Sebastian Ruder - Language independence and material properties

    Sebastian Ruder - Language independence and material properties

    This week we are joined by Sebastian Ruder. He is a research scientist at DeepMind, London. He has also worked at a variety of institutions such as AYLIEN, Microsoft, IBM's Extreme Blue, Google Summer of Code, and SAP. These experiences were completed...

    • 1 hr 34 min
    Kyunghyun Cho - Energy functions and shortcut learning

    Kyunghyun Cho - Energy functions and shortcut learning

    This week we are joined by Kyunghyun Cho. He is an associate professor of computer science and data science at New York University, a research scientist at Facebook AI Research and a CIFAR Associate Fellow. On top of this he also co-chaired the recent...

    • 1 hr 29 min
    Pooling Layers and learning from Brains

    Pooling Layers and learning from Brains

    This week we take a look at the need for pooling layers within CNNs as well as discussing the regularization of CNNs using large-scale neuroscience data.We are also very pleased to have Rosanne Liu join us on the show. Rosanne is a senior research...

    • 1 hr 22 min
    Abstract Reasoning and Peer Reviews

    Abstract Reasoning and Peer Reviews

    This weeks episode we take a look at Abstract Reasoning within Neural Networks as well as discussing the current review system surrounding ML papers. We are also very happy to have Jacob Buckman join us on the podcast this week. Jacob is currently...

    • 1 hr 15 min

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