Argmax

Vahe Hagopian, Taka Hasegawa, Farrukh Rahman
  • 0,0 (0)
  • MATHEMATIK
  • ZWEIWÖCHENTLICH

A show where three machine learning enthusiasts talk about recent papers and developments in machine learning. Watch our video on YouTube https://www.youtube.com/@argmaxfm

  1. 08.10.2024

    Mixture of Experts

    In this episode we talk about the paper "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean.

    55 Min.

  2. 02.09.2023

    LoRA

    We talk about Low Rank Approximation for fine tuning Transformers. We are also on YouTube now! Check out the video here: https://youtu.be/lLzHr0VFi3Y

    1 Std. 3 Min.

  3. 28.03.2023

    15: InstructGPT

    In this episode we discuss the paper "Training language models to follow instructions with human feedback" by Ouyang et al (2022). We discuss the RLHF paradigm and how important RL is to tuning GPT.

    57 Min.

  4. 17.03.2023

    14: Whisper

    This week we talk about Whisper. It is a weakly supervised speech recognition model.

    49 Min.

  5. 11.03.2023

    13: AlphaTensor

    We talk about AlphaTensor, and how researchers were able to find a new algorithm for matrix multiplication.

    49 Min.

  6. 25.10.2022

    12: SIRENs

    In this episode we talked about "Implicit Neural Representations with Periodic Activation Functions" and the strength of periodic non-linearities.

    54 Min.

  7. 30.09.2022

    11: CVPR Workshop on Autonomous Driving Keynote by Ashok Elluswamy, a Tesla engineer

    In this episode we discuss this video: https://youtu.be/jPCV4GKX9Dw How Tesla approaches collision detection with novel methods.

    49 Min.

  8. 23.08.2022

    10: Outracing champion Gran Turismo drivers with deep reinforcement learning

    We discuss Sony AI's accomplishment of creating a novel AI agent that can beat professional racers in Gran Turismo. Some topics include: - The crafting of rewards to make the agent behave nicely - What is QR-SAC? - How to deal with "rare" experiences in the replay buffer Link to paper: https://www.nature.com/articles/s41586-021-04357-7

    55 Min.
Alle anzeigen (17)

Info

A show where three machine learning enthusiasts talk about recent papers and developments in machine learning. Watch our video on YouTube https://www.youtube.com/@argmaxfm

Informationen

  • Erstellt von
    Vahe Hagopian, Taka Hasegawa, Farrukh Rahman
  • Jahre aktiv
    2022 - 2024
  • Folgen
    17
  • Bewertung
    Anstößig
  • Copyright
    © 2024 Argmax
  • Sendungswebsite
    Argmax