Machine Learning Street Talk (MLST)

205 Avsnitt

1. #063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

   Publicerades: 2022-02-22
2. #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

   Publicerades: 2022-02-03
3. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

   Publicerades: 2022-01-04
4. Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

   Publicerades: 2021-10-31
5. #60 Geometric Deep Learning Blueprint (Special Edition)

   Publicerades: 2021-09-19
6. #59 - Jeff Hawkins (Thousand Brains Theory)

   Publicerades: 2021-09-03
7. #58 Dr. Ben Goertzel - Artificial General Intelligence

   Publicerades: 2021-08-11
8. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

   Publicerades: 2021-07-25
9. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

   Publicerades: 2021-07-08
10. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Publicerades: 2021-06-21
11. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Publicerades: 2021-06-04
12. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Publicerades: 2021-05-19
13. #52 - Unadversarial Examples (Hadi Salman, MIT)

    Publicerades: 2021-05-01
14. #51 Francois Chollet - Intelligence and Generalisation

    Publicerades: 2021-04-16
15. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

    Publicerades: 2021-04-04
16. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

    Publicerades: 2021-03-23
17. #48 Machine Learning Security - Andy Smith

    Publicerades: 2021-03-16
18. 047 Interpretable Machine Learning - Christoph Molnar

    Publicerades: 2021-03-14
19. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Publicerades: 2021-03-06
20. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Publicerades: 2021-02-28