Argmax

Vahe Hagopian, Taka Hasegawa, Farrukh Rahman
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  • 数学
  • アップデート：隔週

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. 2024/10/08

    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分

  2. 2023/09/02

    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時間3分

  3. 2023/03/28

    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分

  4. 2023/03/17

    14: Whisper

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

    49分

  5. 2023/03/11

    13: AlphaTensor

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

    49分

  6. 2022/10/25

    12: SIRENs

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

    54分

  7. 2022/09/30

    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分

  8. 2022/08/23

    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分
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番組について

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

情報

  • クリエイター
    Vahe Hagopian, Taka Hasegawa, Farrukh Rahman
  • 配信期間
    22年 - 24年
  • エピソード
    17
  • 制限指定
    不適切な内容を含む
  • Copyright
    © 2024 Argmax
  • 番組のWebサイト
    Argmax