Machine Learning Street Talk (MLST)

205 Avsnitt

1. #044 - Data-efficient Image Transformers (Hugo Touvron)

   Publicerades: 2021-02-25
2. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

   Publicerades: 2021-02-19
3. #042 - Pedro Domingos - Ethics and Cancel Culture

   Publicerades: 2021-02-11
4. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

   Publicerades: 2021-02-03
5. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

   Publicerades: 2021-01-31
6. #039 - Lena Voita - NLP

   Publicerades: 2021-01-23
7. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

   Publicerades: 2021-01-20
8. #037 - Tour De Bayesian with Connor Tann

   Publicerades: 2021-01-11
9. #036 - Max Welling: Quantum, Manifolds & Symmetries in ML

   Publicerades: 2021-01-03
10. #035 Christmas Community Edition!

    Publicerades: 2020-12-27
11. #034 Eray Özkural- AGI, Simulations & Safety

    Publicerades: 2020-12-20
12. #033 Prof. Karl Friston - The Free Energy Principle

    Publicerades: 2020-12-13
13. #032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

    Publicerades: 2020-12-06
14. #031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

    Publicerades: 2020-11-28
15. #030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)

    Publicerades: 2020-11-20
16. #029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

    Publicerades: 2020-11-08
17. NLP is not NLU and GPT-3 - Walid Saba

    Publicerades: 2020-11-04
18. AI Alignment & AGI Fire Alarm - Connor Leahy

    Publicerades: 2020-11-01
19. Kaggle, ML Community / Engineering (Sanyam Bhutani)

    Publicerades: 2020-10-28
20. Sara Hooker - The Hardware Lottery, Sparsity and Fairness

    Publicerades: 2020-10-20