Machine Learning Street Talk (MLST)

Un pódcast de Machine Learning Street Talk (MLST)

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174 Episodo

  1. Robert Lange on NN Pruning and Collective Intelligence

    Publicado: 8/7/2020
  2. WelcomeAIOverlords (Zak Jost)

    Publicado: 30/6/2020
  3. Facebook Research - Unsupervised Translation of Programming Languages

    Publicado: 24/6/2020
  4. Francois Chollet - On the Measure of Intelligence

    Publicado: 19/6/2020
  5. OpenAI GPT-3: Language Models are Few-Shot Learners

    Publicado: 6/6/2020
  6. Jordan Edwards: ML Engineering and DevOps on AzureML

    Publicado: 3/6/2020
  7. One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

    Publicado: 2/6/2020
  8. Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

    Publicado: 25/5/2020
  9. ICLR 2020: Yoshua Bengio and the Nature of Consciousness

    Publicado: 22/5/2020
  10. ICLR 2020: Yann LeCun and Energy-Based Models

    Publicado: 19/5/2020
  11. The Lottery Ticket Hypothesis with Jonathan Frankle

    Publicado: 19/5/2020
  12. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

    Publicado: 19/5/2020
  13. CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    Publicado: 2/5/2020
  14. Exploring Open-Ended Algorithms: POET

    Publicado: 24/4/2020

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

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