Argmax

Vahe Hagopian, Taka Hasegawa, Farrukh Rahman
  • ٥٫٠ (١)
  • الرياضيات
  • يتم التحديث كل أسبوعين

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. ٠٨‏/١٠‏/٢٠٢٤

    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.

    ٥٥ من الدقائق

  2. ٠٢‏/٠٩‏/٢٠٢٣

    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

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  3. ٢٨‏/٠٣‏/٢٠٢٣

    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.

    ٥٧ من الدقائق

  4. ١٧‏/٠٣‏/٢٠٢٣

    14: Whisper

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

    ٤٩ من الدقائق

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    13: AlphaTensor

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

    ٤٩ من الدقائق

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    12: SIRENs

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

    ٥٤ من الدقائق

  7. ٣٠‏/٠٩‏/٢٠٢٢

    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.

    ٤٩ من الدقائق

  8. ٢٣‏/٠٨‏/٢٠٢٢

    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

    ٥٥ من الدقائق
مشاهدة الكل (١٧)

حول

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

المعلومات

  • صناع العمل
    Vahe Hagopian, Taka Hasegawa, Farrukh Rahman
  • سنوات النشاط
    ٢٠٢٢ - ٢٠٢٤
  • الحلقات
    ١٧
  • التقييم
    فاضح
  • حقوق النشر
    © 2024 Argmax
  • موقع البرنامج على الويب
    Argmax