Efficient Learning of Model Weights via Changing Features During Training

21 Feb 2020Marcell Beregi-KovácsÁgnes BaranAndrás Hajdu

In this paper, we propose a machine learning model, which dynamically changes the features during training. Our main motivation is to update the model in a small content during the training process with replacing less descriptive features to new ones from a large pool... (read more)

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