transformer outliers attention attention-mechanism outlier-removal outlier hopfield-neural-network ptq outlier-treatment modern-hopfield-networks modern-hopfield-model icml-2024 softmax-1 quantized-friendly no-o
which appear to be inconsistent with the remainder of that set of data [20]. Aggarwal and Yu note that outliers may be considered as noise points lying outside a set of defined clusters. These outliers behave differently from the norm [21]. In the context of intrusion detection, we conside...
The outlier removal process includes an initial cutoff process to remove outliers out of the measurement range and an outlier detection process using modified Z-scores based on the median absolute deviation (MAD) of a robust estimator. In addition, an exponentially weighted moving average (EWMA) ...