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Model Compression - Cornell University

Model Compression - Cornell University

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model such as a neural net with little loss in performance. An important question is how do we get the pseudo data. In some domains large amounts of unlabeled data is easy to collect (e.g. in text, web and image domains) and can be used as pseudo data. In other domains, however, unla-beled data is not readily available and synthetic cases need

  Model, Data, Compression, Model compression

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