Machine Learning Street Talk (MLST)

217 Avsnitt

1. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

   Publicerades: 2021-07-08
2. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

   Publicerades: 2021-06-21
3. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

   Publicerades: 2021-06-04
4. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

   Publicerades: 2021-05-19
5. #52 - Unadversarial Examples (Hadi Salman, MIT)

   Publicerades: 2021-05-01
6. #51 Francois Chollet - Intelligence and Generalisation

   Publicerades: 2021-04-16
7. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

   Publicerades: 2021-04-04
8. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

   Publicerades: 2021-03-23
9. #48 Machine Learning Security - Andy Smith

   Publicerades: 2021-03-16
10. 047 Interpretable Machine Learning - Christoph Molnar

    Publicerades: 2021-03-14
11. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Publicerades: 2021-03-06
12. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Publicerades: 2021-02-28
13. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Publicerades: 2021-02-25
14. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Publicerades: 2021-02-19
15. #042 - Pedro Domingos - Ethics and Cancel Culture

    Publicerades: 2021-02-11
16. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Publicerades: 2021-02-03
17. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Publicerades: 2021-01-31
18. #039 - Lena Voita - NLP

    Publicerades: 2021-01-23
19. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Publicerades: 2021-01-20
20. #037 - Tour De Bayesian with Connor Tann

    Publicerades: 2021-01-11