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Label smoothing / Faster training / Gaussian/Laplace loss #1

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cnd3617 opened this issue Feb 28, 2021 · 1 comment
Open

Label smoothing / Faster training / Gaussian/Laplace loss #1

cnd3617 opened this issue Feb 28, 2021 · 1 comment

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@cnd3617
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cnd3617 commented Feb 28, 2021

Dear All,

We are investigating (and trying to implement) label smoothing for the classification and regression task. The goal is to add regularization elements to the model, consequently reducing the MAE.

We are also implementing a new way of training the model by pre-computing features. The goal is to obtain a trainable (i.e. faster) model for non-using-GPU computers.

Finally, we are going to work on implementing a Gaussian/Laplace loss.

Amaury, Malo, & Côme

@abursuc
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abursuc commented Mar 1, 2021

Thank you so much for the update.
Don't hesitate to reach out in case there are blocking or unclear points.
Good luck!

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