Tag: influence
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Newfluence: Boosting Model interpretability and Understanding in High Dimensions
Newfluence: Boosting Model interpretability and Understanding in High Dimensions arXiv:2507.11895v1 Announce Type: new Abstract: The increasing complexity of machine learning (ML) and artificial intelligence (AI) models has created a pressing need for tools that help scientists, engineers, and policymakers interpret and refine model decisions and predictions. Influence functions, originating from robust statistics, have emerged as…
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Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training arXiv:2502.10793v1 Announce Type: new Abstract: Existing methods for measuring training sample influence on models only provide static, overall measurements, overlooking how sample influence changes during training. We propose Dynamic Influence Tracker (DIT), which captures the time-varying sample influence across arbitrary time windows during training. DIT offers…