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  1. 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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  2. Perceiver: General Perception with Iterative Attention (Google DeepMind Research Paper Explained)

    Perceiver: General Perception with Iterative Attention (Google DeepMind Research Paper Explained)

    9
  3. DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

    DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research 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. [ML News] New ImageNet SOTA | Uber's H3 hexagonal coordinate system | New text-image-pair dataset

    [ML News] New ImageNet SOTA | Uber's H3 hexagonal coordinate system | New text-image-pair dataset

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  6. 2011-2012: Watson’s Jeopardy Win and AlexNet’s Deep Learning Breakthrough | AI Through Time [12]

    2011-2012: Watson’s Jeopardy Win and AlexNet’s Deep Learning Breakthrough | AI Through Time [12]

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    1
  7. 2013: Word2Vec, Deep Learning, and AI's Foundations | AI Through Time [13]

    2013: Word2Vec, Deep Learning, and AI's Foundations | AI Through Time [13]

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  8. How AI Took Over The World

    How AI Took Over The World

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  9. MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

    MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

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  10. XCiT: Cross-Covariance Image Transformers (Facebook AI Machine Learning Research Paper Explained)

    XCiT: Cross-Covariance Image Transformers (Facebook AI Machine Learning Research Paper Explained)

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  12. AI made this music video | What happens when OpenAI's CLIP meets BigGAN?

    AI made this music video | What happens when OpenAI's CLIP meets BigGAN?

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  13. How far can we scale up? Deep Learning's Diminishing Returns (Article Review)

    How far can we scale up? Deep Learning's Diminishing Returns (Article Review)

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  15. Darlington [ai-visualisation]

    Darlington [ai-visualisation]

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  16. Involution: Inverting the Inherence of Convolution for Visual Recognition (Research Paper Explained)

    Involution: Inverting the Inherence of Convolution for Visual Recognition (Research Paper Explained)

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