Diana Trojaniello

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic

The deployment of deep neural networks on resource-constrained devices relies on quantization. While static, uniform quantization applies a fixed bit-width to all inputs, it fails to adapt to their varying complexity. Dynamic, instance-based mixed-precision quantization promises a superior accuracy-