5 papers
Retrain or not retrain? -- efficient pruning methods of deep CNN networks
Marcin Pietron, Maciej Wielgosz
Convolutional neural networks (CNN) play a major role in image processing tasks like image classification, object detection, semantic segmentation. Very often CNN networks have fro…
Ensemble approach for natural language question answering problem
Anna Aniol, Marcin Pietron
Machine comprehension, answering a question depending on a given context paragraph is a typical task of Natural Language Understanding. It requires to model complex dependencies ex…
Method for Hybrid Precision Convolutional Neural Network Representation
Mo'taz Al-Hami, Marcin Pietron, Rishi Kumar +3
This invention addresses fixed-point representations of convolutional neural networks (CNN) in integrated circuits. When quantizing a CNN for a practical implementation there is a…
Convolutional neural network compression for natural language processing
Krzysztof Wróbel, Marcin Pietroń, Maciej Wielgosz +2
Convolutional neural networks are modern models that are very efficient in many classification tasks. They were originally created for image processing purposes. Then some trials w…
Formal analysis of HTM Spatial Pooler performance under predefined operation conditions
M. Pietron, M. Wielgosz, K. Wiatr
This paper introduces mathematical formalism for Spatial (SP) of Hierarchical Temporal Memory (HTM) with a spacial consideration for its hardware implementation. Performance of HTM…