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Sam Coope - Blog

For the last year or so, I have been experimenting with the Noise as Target (NAT) framework 1 . It's a mechanism which can train a model to map one probability distribution to another without any labels. These distributions could be (technically) anything: Images of cats to Gaussian noise, French sentences to English sentences etc.