177 Episodes

  1. Expire-Span: Not All Memories are Created Equal: Learning to Forget by Expiring (Paper Explained)

    Published: 5/26/2021
  2. FNet: Mixing Tokens with Fourier Transforms (Machine Learning Research Paper Explained)

    Published: 5/24/2021
  3. AI made this music video | What happens when OpenAI's CLIP meets BigGAN?

    Published: 5/21/2021
  4. DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)

    Published: 5/15/2021
  5. Involution: Inverting the Inherence of Convolution for Visual Recognition (Research Paper Explained)

    Published: 5/10/2021
  6. MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

    Published: 5/10/2021
  7. Is Google Translate Sexist? Gender Stereotypes in Statistical Machine Translation

    Published: 5/3/2021
  8. Perceiver: General Perception with Iterative Attention (Google DeepMind Research Paper Explained)

    Published: 5/3/2021
  9. Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

    Published: 5/3/2021
  10. Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)

    Published: 5/3/2021
  11. Multimodal Neurons in Artificial Neural Networks (w/ OpenAI Microscope, Research Paper Explained)

    Published: 5/3/2021
  12. Machine Learning PhD Survival Guide 2021 | Advice on Topic Selection, Papers, Conferences & more!

    Published: 5/3/2021
  13. PAIR AI Explorables | Is the problem in the data? Examples on Fairness, Diversity, and Bias.

    Published: 5/3/2021
  14. DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

    Published: 5/3/2021
  15. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)

    Published: 5/2/2021
  16. DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

    Published: 5/2/2021
  17. Why AI is Harder Than We Think (Machine Learning Research Paper Explained)

    Published: 5/2/2021

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I make videos about machine learning research papers, programming, and issues of the AI community, and the broader impact of AI in society. Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar (preferred to Patreon): https://www.subscribestar.com/yannickilcher Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq