PD-Quant: Post-Training Quantization based on Prediction Difference Metric.
Jiawei LiuLin NiuZhihang YuanDawei YangXinggang WangWenyu LiuPublished in: CoRR (2022)
Keyphrases
- prediction accuracy
- radial basis function network
- test set
- prediction model
- uniform quantization
- prediction algorithm
- training phase
- training samples
- supervised learning
- prediction error
- training process
- distance measure
- computational complexity
- online learning
- metric space
- data sets
- multi layer perceptron
- convex functions
- multiresolution
- color quantization