Machine Learning Street Talk (MLST)

217 Folgen

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

   Vom: 8.7.2021
2. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

   Vom: 21.6.2021
3. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

   Vom: 4.6.2021
4. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

   Vom: 19.5.2021
5. #52 - Unadversarial Examples (Hadi Salman, MIT)

   Vom: 1.5.2021
6. #51 Francois Chollet - Intelligence and Generalisation

   Vom: 16.4.2021
7. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

   Vom: 4.4.2021
8. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

   Vom: 23.3.2021
9. #48 Machine Learning Security - Andy Smith

   Vom: 16.3.2021
10. 047 Interpretable Machine Learning - Christoph Molnar

    Vom: 14.3.2021
11. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Vom: 6.3.2021
12. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Vom: 28.2.2021
13. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Vom: 25.2.2021
14. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Vom: 19.2.2021
15. #042 - Pedro Domingos - Ethics and Cancel Culture

    Vom: 11.2.2021
16. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Vom: 3.2.2021
17. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Vom: 31.1.2021
18. #039 - Lena Voita - NLP

    Vom: 23.1.2021
19. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Vom: 20.1.2021
20. #037 - Tour De Bayesian with Connor Tann

    Vom: 11.1.2021