Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance.
Zhihang YuanJiawei LiuJiaxiang WuDawei YangQiang WuGuangyu SunWenyu LiuXinggang WangBingzhe WuPublished in: CoRR (2023)
Keyphrases
- worst case
- training set
- average case
- information systems
- image sequences
- upper bound
- error bounds
- training process
- special case
- machine learning
- supervised learning
- greedy algorithm
- test set
- multi class
- watermarking scheme
- approximation algorithms
- training samples
- active learning
- feature space
- case study
- learning algorithm