VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference.
Steve DaiRangharajan VenkatesanHaoxing RenBrian ZimmerWilliam J. DallyBrucek KhailanyPublished in: CoRR (2021)
Keyphrases
- neural network
- artificial neural networks
- neural network model
- feature vectors
- belief networks
- high accuracy
- neural network is trained
- highly accurate
- associative memory
- back propagation
- computationally efficient
- fuzzy logic
- pattern recognition
- genetic algorithm
- self organizing maps
- high quality
- probabilistic inference
- bayesian inference
- inference process
- color quantization
- data sets