PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions.
Edouard YvinecArnaud DapognyKevin BaillyPublished in: CoRR (2023)
Keyphrases
- structured prediction
- predictive accuracy
- supervised learning
- probabilistic inference
- bayesian networks
- training set
- quantization error
- training process
- multiscale
- neural network
- training algorithm
- inference engine
- prediction accuracy
- water supply
- inference process
- training samples
- maximum likelihood
- expert systems
- machine learning