Deepwatch

Courses, Machine Learning Street Talk

NeurIPS 24

18 lectures, 20 hr 53 min in all

0 of 18 watched

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  1. 1
    François Chollet on OpenAI o-models and ARC

    1 hr 27

  2. 2
    Don't invent faster horses - Prof. Jeff Clune

    2 hr

  3. 3
    How Do AI Models Actually Think? [Dr. Laura Ruis]

    1 hr 18

  4. 4
    MIGHT THE ROBOTS TAKE OVER? [Prof. Yoshua Bengio]

    1 hr 42

  5. 5
    Language Models are "Modelling The World" [Nicholas Carlini]

    1 hr 21

  6. 6
    Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)

    1 hr 17

  7. 7
    The Professor Who Proved ChatGPT Can't Think — Subbarao Kambhampati

    1 hr 32

  8. 8
    Can AI Improve Itself? [Chris Lu, Robert Lange, Cong Lu]

    1 hr 38

  9. 9
    ImageNet Moment for Reinforcement Learning? [Prof. Jakob Foerster]

    54 min

  10. 10
    LSTM: The Comeback Story? [Prof. Sepp Hochreiter]

    1 hr 07

  11. 11
    Transformers Need Glasses! [Federico Barbero]

    1 hr 01

  12. 12
    Build Specialist LLMs Like It’s 2019 (Randall Balestriero)

    35 min

  13. 13
    Can Latent Program Networks Solve Abstract Reasoning? [Clement Bonnet]

    51 min

  14. 14
    Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares

    32 min

  15. 15
    Test-Time Adaptation: the key to reasoning with DL

    1 hr 04

  16. 16
    Moving Beyond Surface Statistics (Apple researcher) [Iman Mirzadeh]

    1 hr 11

  17. 17
    The Gap Between Humans and Machines Is ___ [Dr. Max Bartolo]

    1 hr 23

  18. 18
    People wanted faster horses - Jeff Clune

    1 min