Machine Learning Street Talk (MLST)

174 Episodo

1. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

   Publicado: 19/5/2021
2. #52 - Unadversarial Examples (Hadi Salman, MIT)

   Publicado: 1/5/2021
3. #51 Francois Chollet - Intelligence and Generalisation

   Publicado: 16/4/2021
4. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

   Publicado: 4/4/2021
5. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

   Publicado: 23/3/2021
6. #48 Machine Learning Security - Andy Smith

   Publicado: 16/3/2021
7. 047 Interpretable Machine Learning - Christoph Molnar

   Publicado: 14/3/2021
8. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

   Publicado: 6/3/2021
9. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

   Publicado: 28/2/2021
10. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Publicado: 25/2/2021
11. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Publicado: 19/2/2021
12. #042 - Pedro Domingos - Ethics and Cancel Culture

    Publicado: 11/2/2021
13. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Publicado: 3/2/2021
14. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Publicado: 31/1/2021
15. #039 - Lena Voita - NLP

    Publicado: 23/1/2021
16. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Publicado: 20/1/2021
17. #037 - Tour De Bayesian with Connor Tann

    Publicado: 11/1/2021
18. #036 - Max Welling: Quantum, Manifolds & Symmetries in ML

    Publicado: 3/1/2021
19. #035 Christmas Community Edition!

    Publicado: 27/12/2020
20. #034 Eray Özkural- AGI, Simulations & Safety

    Publicado: 20/12/2020