Machine Learning Street Talk (MLST)

174 Episodes

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

   Published: 19/05/2021
2. #52 - Unadversarial Examples (Hadi Salman, MIT)

   Published: 1/05/2021
3. #51 Francois Chollet - Intelligence and Generalisation

   Published: 16/04/2021
4. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

   Published: 4/04/2021
5. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

   Published: 23/03/2021
6. #48 Machine Learning Security - Andy Smith

   Published: 16/03/2021
7. 047 Interpretable Machine Learning - Christoph Molnar

   Published: 14/03/2021
8. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

   Published: 6/03/2021
9. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

   Published: 28/02/2021
10. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Published: 25/02/2021
11. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Published: 19/02/2021
12. #042 - Pedro Domingos - Ethics and Cancel Culture

    Published: 11/02/2021
13. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Published: 3/02/2021
14. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Published: 31/01/2021
15. #039 - Lena Voita - NLP

    Published: 23/01/2021
16. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Published: 20/01/2021
17. #037 - Tour De Bayesian with Connor Tann

    Published: 11/01/2021
18. #036 - Max Welling: Quantum, Manifolds & Symmetries in ML

    Published: 3/01/2021
19. #035 Christmas Community Edition!

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

    Published: 20/12/2020