2026
BBQ: Boosting Quantization Entropy with Bell Box Quantization
ICLR 2026poster
Quantization-Aware Pre-Training (QAPT) is an effective technique to reduce the compute and memory overhead of Deep Neural Networks while improving their energy efficiency on edge devices. Existing QAPT methods produce models stored in compute-efficient data types (e.g. integers) that are not inform…