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Growing and pruning neural tree networks
IEEE Transactions on Computers, 1993A pattern classification method called neural tree networks (NTNs) is presented. The NTN consists of neural networks connected in a tree architecture. The neural networks are used to recursively partition the feature space into subregions. Each terminal subregion is assigned a class label which depends on the training data routed to it by the neural ...
Ananth Sankar, Richard J. Mammone
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Model Compression Based on Differentiable Network Channel Pruning
IEEE Transactions on Neural Networks and Learning Systems, 2023Bin Luo, Si-Bao Chen, Zheng Yu-Jie
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Stochastic weight pruning and the role of regularization in shaping network structure
Neurocomputing, 2021Jacob Goldberger, Tammy Riklin Raviv
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GenExp: Multi-objective pruning for deep neural network based on genetic algorithm
Neurocomputing, 2021Lingzhi Liu
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Discrimination-aware Network Pruning for Deep Model Compression
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Jinhui Zhu, Mingkui Tan, Bohan Zhuang
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Cloud–Edge Collaborative Inference with Network Pruning
Electronics (Switzerland), 2023Xuejun Zhang
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Network Pruning Using Adaptive Exemplar Filters
IEEE Transactions on Neural Networks and Learning Systems, 2022Rongrong Ji, Qixiang Ye, Mingbao Lin
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Research on Dynamic Labels in Network Pruning
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS), 2023Lijun Zhang +3 more
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