A mixture density network with negative log-likelihood scoring is claimed to outperform neural baselines on UNSW-NB15, but the experimental support is not auditable.
Efficient Compression of Large Language Models with Distillation and Fine-Tuning,
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Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
A mixture density network with negative log-likelihood scoring is claimed to outperform neural baselines on UNSW-NB15, but the experimental support is not auditable.