Sparsity through evolutionary pruning prevents neuronal networks from
overfitting

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Sparsity through evolutionary pruning prevents neuronal networks from overfitting

7 November 2019

Richard C. Gerum

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Papers citing "Sparsity through evolutionary pruning prevents neuronal networks from overfitting"

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Title
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration Mike Heddes Narayan Srinivasa T. Givargis Alexandru Nicolau 249 0 0 12 Jan 2024
pylustrator: Code generation for reproducible figures for publication Richard C. Gerum 16 22 0 01 Oct 2019
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks Junhong Lin C. Metzner Andreas K. Maier Volkan Cevher Holger Schulze Patrick Krauss 56 59 0 05 Nov 2018
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 178 634 0 15 Jul 2017
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 89 585 0 18 Sep 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 187 2,340 0 12 Aug 2016
Structured Pruning of Deep Convolutional Neural Networks S. Anwar Kyuyeon Hwang Wonyong Sung 126 748 0 29 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,854 0 01 Oct 2015
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 204 5,360 0 21 Nov 2012