Quantized Neural Networks
PulseAugur coverage of Quantized Neural Networks — every cluster mentioning Quantized Neural Networks across labs, papers, and developer communities, ranked by signal.
-
MiCoPro framework enables efficient mixed-precision quantization for edge AI
Researchers have introduced MiCoPro, a novel framework designed for end-to-end co-design of mixed-precision quantization (MPQ) for edge AI applications. This framework addresses the limitations of existing methods by em…
-
New method uses Gaussian smoothing for quantized neural networks
Researchers have developed a method using Gaussian averaging as a smooth approximation for quantized neural networks. This technique, when applied under bounded local oscillation, provides a dimension-dependent bound on…
-
New OEU framework unlearns data from quantized neural networks
Researchers have developed a new framework called Orthogonal Entropy Unlearning (OEU) designed to effectively remove specific data from quantized neural networks while preserving overall model accuracy. This method addr…