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Articole: 20
  1. How do you “do-”?

  2. Factorizing Softly

    Learning “soft-separable” directions in latent space as an alternative to explicit factorization.

  3. Noticing a Pattern

    Classification as Pattern Recognition

  4. Flow Where You Want

    Adding Inference Controls to Pretrained (Latent) Flow Models

  5. Flow With What You Know

    Basic physics provides a “straight, fast” way to get up to speed with flow-based generative models

  6. Toy Transformer Tunes

  7. If you can get this one thing, the rest will make sense.

  8. Residual Vector Quantization

    An exploration of the heart of neural audio codecs

  9. Now that we understand contrastive losses and what they’re good for – let’s get rid of them!

  10. Given enough dimensions, does it really matter which distance norm you use?

  11. Depends on whether you’re using unit vectors or not.

  12. Clifford algebra isn’t so scary

  13. Once I figure out a complicated command, I make a bash function for it

  14. Triplet Loss kicks butt

  15. With my new data-visualization Callback!

  16. Visualizations in 3 (and 4) dimensions

  17. In which we test GPT-3’s ability to generate members of a category

  18. A snarky interactive lesson on classification and surveillance

  19. Supporting scholarly blogging by drawing references from your database.

  20. Mac => Linux Switch Notes

    Mac and I aren’t breaking up, we’re just seeing other people.