Machine Learning Street Talk (MLST)

233 Episodes

1. #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

   Published: 3/25/2022
2. #70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]

   Published: 3/19/2022
3. #69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data

   Published: 3/12/2022
4. #68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]

   Published: 3/7/2022
5. #67 Prof. KARL FRISTON 2.0

   Published: 3/2/2022
6. #66 ALEXANDER MATTICK - [Unplugged / Community Edition]

   Published: 2/28/2022
7. #65 Prof. PEDRO DOMINGOS [Unplugged]

   Published: 2/26/2022
8. #64 Prof. Gary Marcus 3.0

   Published: 2/24/2022
9. #063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

   Published: 2/22/2022
10. #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

    Published: 2/3/2022
11. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

    Published: 1/4/2022
12. Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

    Published: 10/31/2021
13. #60 Geometric Deep Learning Blueprint (Special Edition)

    Published: 9/19/2021
14. #59 - Jeff Hawkins (Thousand Brains Theory)

    Published: 9/3/2021
15. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Published: 8/11/2021
16. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Published: 7/25/2021
17. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Published: 7/8/2021
18. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Published: 6/21/2021
19. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Published: 6/4/2021
20. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Published: 5/19/2021