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Tag: classifier

  • The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel

    The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel Exploring the k-NN classifier with its variants and improvements The post The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel appeared first on Towards Data Science. angela shi Go to original source

  • Theoretical Foundations of the Deep Copula Classifier: A Generative Approach to Modeling Dependent Features

    Theoretical Foundations of the Deep Copula Classifier: A Generative Approach to Modeling Dependent Features arXiv:2505.22997v1 Announce Type: new Abstract: Traditional classifiers often assume feature independence or rely on overly simplistic relationships, leading to poor performance in settings where real-world dependencies matter. We introduce the Deep Copula Classifier (DCC), a generative model that separates the learning…

  • Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach

    Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach arXiv:2501.10202v1 Announce Type: new Abstract: This paper introduces a novel method, Sample-efficient Probabilistic Detection using Extreme Value Theory (SPADE), which transforms a classifier into an abstaining classifier, offering provable protection against out-of-distribution and adversarial samples. The approach is based on a…

  • Your Classifier Is Broken, But It Is Still Useful

    Your Classifier Is Broken, But It Is Still Useful When you run a binary classifier over a population you get an estimate of the proportion of true positives in that population. This is known as the prevalence. Photo by Rod Long on Unsplash But that estimate is biased, because no classifier is perfect. For example, if…

  • Classifier-free guidance for LLMs performance enhancing

    Classifier-free guidance for LLMs performance enhancing Classifier-Free Guidance for LLMs Performance Enhancing Check and improve classifier-free guidance for text generation large language models. While participating in NeurIPS 2024 Competitions track I was awarded the second prize in the LLM Privacy challenge. The solution I had used classifier-free guidance (CFG). I noticed that with high CFG guidance…