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When it comes to AI, can we ditch the datasets?

MIT researchers have developed a technique to train a machine-learning model for image classification, which does not require the use of a dataset. Instead, they use a โ€œgenerative modelโ€ to produce synthetic data that is used to train an image classifier, which can then perform as well as or better than an image classifier trained using real data.
United States Ali Jahanian Xavier Puig Phillip Isola International Conference On Learning Representations Artificial Intelligence Laboratory
Source: mit.edu

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