Machine Learning Street Talk (MLST)

235 Folgen

1. #73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks

   Vom: 7.4.2022
2. #72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]

   Vom: 29.3.2022
3. #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

   Vom: 25.3.2022
4. #70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]

   Vom: 19.3.2022
5. #69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data

   Vom: 12.3.2022
6. #68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]

   Vom: 7.3.2022
7. #67 Prof. KARL FRISTON 2.0

   Vom: 2.3.2022
8. #66 ALEXANDER MATTICK - [Unplugged / Community Edition]

   Vom: 28.2.2022
9. #65 Prof. PEDRO DOMINGOS [Unplugged]

   Vom: 26.2.2022
10. #64 Prof. Gary Marcus 3.0

    Vom: 24.2.2022
11. #063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

    Vom: 22.2.2022
12. #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

    Vom: 3.2.2022
13. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

    Vom: 4.1.2022
14. Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

    Vom: 31.10.2021
15. #60 Geometric Deep Learning Blueprint (Special Edition)

    Vom: 19.9.2021
16. #59 - Jeff Hawkins (Thousand Brains Theory)

    Vom: 3.9.2021
17. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Vom: 11.8.2021
18. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Vom: 25.7.2021
19. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Vom: 8.7.2021
20. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Vom: 21.6.2021