Machine Learning Street Talk (MLST)

A podcast by Machine Learning Street Talk (MLST)

Categories:

Technology

190 Episodes

  1. OpenAI GPT-3: Language Models are Few-Shot Learners

    Published: 6/6/2020

  2. Jordan Edwards: ML Engineering and DevOps on AzureML

    Published: 6/3/2020

  3. One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

    Published: 6/2/2020

  4. Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

    Published: 5/25/2020

  5. ICLR 2020: Yoshua Bengio and the Nature of Consciousness

    Published: 5/22/2020

  6. ICLR 2020: Yann LeCun and Energy-Based Models

    Published: 5/19/2020

  7. The Lottery Ticket Hypothesis with Jonathan Frankle

    Published: 5/19/2020

  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

    Published: 5/19/2020

  9. CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    Published: 5/2/2020

  10. Exploring Open-Ended Algorithms: POET

    Published: 4/24/2020

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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/).