arxiv paper proposing a systematic approach to neural network compression by combining pruning (weight removal), quantization (precision reduction), and distillation (knowledge transfer) in a specific ordered sequence for improved efficiency.
Research
Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression
Paper demonstrates that the sequence of compression techniques matters: pruning→quantization→distillation in order yields better efficiency than ad-hoc combinations.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
Tags
research