Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks.
Mark KurtzJustin KopinskyRati GelashviliAlexander MatveevJohn CarrMichael GoinWilliam M. LeisersonSage MooreNir ShavitDan AlistarhPublished in: ICML (2020)
Keyphrases
- neural network
- genetic algorithm
- pattern recognition
- high dimensional
- neural nets
- artificial neural networks
- inference mechanism
- inference process
- sparse representation
- back propagation
- inference engine
- probabilistic inference
- activation detection
- data sets
- belief nets
- multi layer
- multilayer perceptron
- neural network model
- random fields
- self organizing maps
- fuzzy systems
- fault diagnosis
- learning rules
- information processing
- image classification
- bayesian networks
- machine learning