memorization

Code for "On Memorization in Probabilistic Deep Generative Models" (by alan-turing-institute)
Review Deep Learning generative-model probabilistic-models Pytorch reproducible-research Reproducibility reproducible-science reproducible-paper memorization
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  • [D] DALL·E to be made available as API, OpenAI to give users full ownership rights to generated images
    1 project | /r/MachineLearning | 4 Nov 2022
    Codex is not technically copy pasting; it is generating a new output that is (almost) exactly the same, or indistinguishable on the eyes of a human, to the input. Sounds like semantics, but there is no actual copying. You already have music generating algorithms that can also generate short samples that are indistinguishable to the inputs (memorisation). Dall-E 2 is not there yet, but we are close to prompting "Original Mona Lisa painting" and be given back the original Mona Lisa painting with striking similarities. There are already several generative models of images that can mostly memorise inputs used to train it (quick example found using google: https://github.com/alan-turing-institute/memorization).

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alan-turing-institute/memorization is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of memorization is Python.

Popular Comparisons

  1. memorization VS hydra-zen
  2. memorization VS benchmark_VAE
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  4. memorization VS Sacred
  5. memorization VS torch-fidelity
  6. memorization VS PyTorch-VAE
  7. memorization VS disentangling-vae
  8. memorization VS wandb
  9. memorization VS autoregressive

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