Cross-Entropy Pruning for Compressing Convolutional Neural Networks | Citedby Results | Neural Computation | MIT Press

Skip to Main Content

Skip Nav Destination

Cross-Entropy Pruning for Compressing Convolutional Neural Networks

Neural Computation (2018) 30 (11): 3128–3149.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

A roulette wheel-based pruning method to simplify cumbersome deep neural networks

Kit Yan Chan
Ka Fai Cedric Yiu
Shan Guo
Huimin Jiang

Neural Computing and Applications (2024) 36 (22): 13915.

Methods for Pruning Deep Neural Networks

Sunil Vadera
Salem Ameen

IEEE Access (2022) 10: 63280.

Neural network pruning based on channel attention mechanism

Jianqiang Hu
Yang Liu
Keshou Wu

Connection Science (2022) 34 (1): 2201.

Heuristically mining the top-k high-utility itemsets with cross-entropy optimization

Wei Song
Chuanlong Zheng
Chaomin Huang
Lu Liu

Applied Intelligence (2022) 52 (15): 17026.

Number of necessary training examples for Neural Networks with different number of trainable parameters

Th.I. Götz
S. Göb
S. Sawant
X.F. Erick
T. Wittenberg
C. Schmidkonz
A.M. Tomé
E.W. Lang
A. Ramming

Journal of Pathology Informatics (2022) 13: 100114.

Redundancy-Aware Pruning of Convolutional Neural Networks

Guotian Xie

Neural Computation (2020) 32 (12): 2532.