All Videos Channels
  1. PonderNet: Learning to Ponder (Machine Learning Research Paper Explained)

    PonderNet: Learning to Ponder (Machine Learning Research Paper Explained)

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  2. Active Dendrites avoid catastrophic forgetting - Interview with the Authors

    Active Dendrites avoid catastrophic forgetting - Interview with the Authors

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  3. Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos (Paper Explained)

    Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos (Paper Explained)

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  4. Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev)

    Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev)

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  5. 𝘕𝘖 𝘞𝘌𝘛 𝘎𝘙𝘈𝘚𝘚 𝘔𝘌𝘋𝘐𝘛𝘈𝘛𝘐𝘕𝘎 𝘛𝘖𝘋𝘈𝘠! 😏😅

    𝘕𝘖 𝘞𝘌𝘛 𝘎𝘙𝘈𝘚𝘚 𝘔𝘌𝘋𝘐𝘛𝘈𝘛𝘐𝘕𝘎 𝘛𝘖𝘋𝘈𝘠! 😏😅

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  6. "The Triune Brain: Unveiling the Evolution of Human Intelligence"

    "The Triune Brain: Unveiling the Evolution of Human Intelligence"

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  7. 10 Hours of Fractal Mathematical AI Art set to white noise.

    10 Hours of Fractal Mathematical AI Art set to white noise.

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  8. Topographic VAEs learn Equivariant Capsules (Machine Learning Research Paper Explained)

    Topographic VAEs learn Equivariant Capsules (Machine Learning Research Paper Explained)

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  9. LLaMA: Open and Efficient Foundation Language Models (Paper Explained)

    LLaMA: Open and Efficient Foundation Language Models (Paper Explained)

    36
  10. Who Is Attacking You? - Family/Friends/Parents/Children

    Who Is Attacking You? - Family/Friends/Parents/Children

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  11. Debris Disks: Structure, Composition, and Variability. A Puke(TM) Audiopaper.

    Debris Disks: Structure, Composition, and Variability. A Puke(TM) Audiopaper.

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  12. "The Triune Brain: Unveiling the Evolution of Human Intelligence"

    "The Triune Brain: Unveiling the Evolution of Human Intelligence"

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  13. ∞-former: Infinite Memory Transformer (aka Infty-Former / Infinity-Former, Research Paper Explained)

    ∞-former: Infinite Memory Transformer (aka Infty-Former / Infinity-Former, Research Paper Explained)

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  14. DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

    DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

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  15. Scaling Transformer to 1M tokens and beyond with RMT (Paper Explained)

    Scaling Transformer to 1M tokens and beyond with RMT (Paper Explained)

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  16. Blockcloud, Meetup, 블록체인, 비트코인, Iot, cctv, 스트리밍속도개선, 디센트레, 신논현

    Blockcloud, Meetup, 블록체인, 비트코인, Iot, cctv, 스트리밍속도개선, 디센트레, 신논현

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  17. Noether Networks: Meta-Learning Useful Conserved Quantities (w/ the authors)

    Noether Networks: Meta-Learning Useful Conserved Quantities (w/ the authors)

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  18. DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)

    DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)

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  19. Memory-assisted prompt editing to improve GPT-3 after deployment (Machine Learning Paper Explained)

    Memory-assisted prompt editing to improve GPT-3 after deployment (Machine Learning Paper Explained)

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  20. Transformer Memory as a Differentiable Search Index (Machine Learning Research Paper Explained)

    Transformer Memory as a Differentiable Search Index (Machine Learning Research Paper Explained)

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  21. NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion (ML Research Paper Explained)

    NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion (ML Research Paper Explained)

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  22. 𝘉𝘈𝘙𝘉𝘐𝘌 𝘔𝘌𝘋𝘐𝘛𝘈𝘛𝘌𝘚 𝘐𝘕 𝘚𝘍 😉😏

    𝘉𝘈𝘙𝘉𝘐𝘌 𝘔𝘌𝘋𝘐𝘛𝘈𝘛𝘌𝘚 𝘐𝘕 𝘚𝘍 😉😏

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  23. Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

    Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

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