2 papers
cs.CV2025
Enhancing Generalization in Data-free Quantization via Mixup-class Prompting
Jiwoong Park, Chaeun Lee, Yongseok Choi +3
Post-training quantization (PTQ) improves efficiency but struggles with limited calibration data, especially under privacy constraints. Data-free quantization (DFQ) mitigates this…
cs.LG2021
SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks
Chaeun Lee, Seyoung Kim
As deep neural networks require tremendous amount of computation and memory, analog computing with emerging memory devices is a promising alternative to digital computing for edge…