Machine Learning Street Talk (MLST)

205 Avsnitt

1. Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

   Publicerades: 2025-02-19
2. Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

   Publicerades: 2025-02-18
3. Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

   Publicerades: 2025-02-12
4. Sepp Hochreiter - LSTM: The Comeback Story?

   Publicerades: 2025-02-12
5. Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

   Publicerades: 2025-02-08
6. Nicholas Carlini (Google DeepMind)

   Publicerades: 2025-01-25
7. Subbarao Kambhampati - Do o1 models search?

   Publicerades: 2025-01-23
8. How Do AI Models Actually Think? - Laura Ruis

   Publicerades: 2025-01-20
9. Jurgen Schmidhuber on Humans co-existing with AIs

   Publicerades: 2025-01-16
10. Yoshua Bengio - Designing out Agency for Safe AI

    Publicerades: 2025-01-15
11. Francois Chollet - ARC reflections - NeurIPS 2024

    Publicerades: 2025-01-09
12. Jeff Clune - Agent AI Needs Darwin

    Publicerades: 2025-01-04
13. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

    Publicerades: 2024-12-07
14. Jonas Hübotter (ETH) - Test Time Inference

    Publicerades: 2024-12-01
15. How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

    Publicerades: 2024-11-25
16. Nora Belrose - AI Development, Safety, and Meaning

    Publicerades: 2024-11-17
17. Why Your GPUs are underutilised for AI - CentML CEO Explains

    Publicerades: 2024-11-13
18. Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

    Publicerades: 2024-11-11
19. Pattern Recognition vs True Intelligence - Francois Chollet

    Publicerades: 2024-11-06
20. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

    Publicerades: 2024-11-04