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PSA: Mastodon is NOT Twitter and does not aim to be.
  • George Takei feels like half the reason I still even used twitter.

    A lot of the communities I interacted with because people shilling their products, but George remained.

    Swapping to Mastodon was something I had low expectations for, but it turned out great.

  • Machine Learning @lemmy.ml kraegar @lemmy.world
    Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
    openreview.net Reversible Instance Normalization for Accurate Time-Series...

    Statistical properties such as mean and variance often change over time in time series, i.e., time-series data suffer from a distribution shift problem. This change in temporal distribution is one...

    Reversible Instance Normalization for Accurate Time-Series...

    I found this paper when implementing TSMixer in darts and thought it was worth sharing.

    As far as I know, it may not be relevant to non-timeseries problems. That being said, does anybody know of instance normalization outside of timeseries? It is obviously similar to batch normalization but is slightly different.

    I added RIN to an N-HiTS model using the Energy benchmark dataset and got 21% and 22% reduction in MSE and MAE, respectively. This required two lines of code to be added to the model definition and increased compute time in no noticeable manner.

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    InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)KR
    kraegar @lemmy.world
    Posts 1
    Comments 2