feature distributions
Feature distributions refer to the statistical properties of features in a dataset. Understanding these distributions is critical in machine learning for tasks like anomaly detection, model selection, and performance evaluation.
- CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
- DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
- DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
- Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
- On Optimal Steering to Achieve Exact Fairness