2 papers
cs.CV2025
CoSeP: Complementary Separability Pruning via Class-Separability Clustering
David Levin, Gonen Singer
Neural network pruning aims to compress models for efficient deployment, yet two fundamental challenges remain. First, many methods rely on per-component importance scores, selecti…
cs.LG2023
Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette
David Levin, Gonen Singer
This paper introduces a novel graph-based filter method for automatic feature selection (abbreviated as GB-AFS) for multi-class classification tasks. The method determines the mini…