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Recent DNN pruning algorithms have succeeded in reducing the number of parameters in fully connected layers, often with little or no drop in classification accuracy.
Convex analysis approach to dc programming: Theory, algorithms and applications
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Robustness and generalization
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Nitanda, Atsushi · 2014
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Weight uncertainty in neural networks
Blundell, Charles, Cornebise, Julien, Kavukcuoglu, Koray, and Wierstra, Daan · 2015
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Chen, Wenlin, Wilson, James, Tyree, Stephen, Weinberger, Kilian, and Chen, Yixin · 2015
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Dictionary learning for fast classification based on soft-thresholding
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Kim, Yong-Deok, Park, Eunhyeok, Yoo, Sungjoo, Choi, Taelim, Yang, Lu, and Shin, Dongjun · 2015
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LeCun, Yann, Bengio, Yoshua, and Hinton, Geoffrey · 2015
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Novikov, Alexander, Podoprikhin, Dmitrii, Osokin, Anton, and Vetrov, Dmitry P · 2015
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Net-trim: A layer-wise convex pruning of deep neural networks
Aghasi, Alireza, Nguyen, Nam, and Romberg, Justin · 2016
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Courbariaux, Matthieu, Hubara, Itay, Soudry, Daniel, El-Yaniv, Ran, and Bengio, Yoshua · 2016
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Spectrally-normalized margin bounds for neural networks
Bartlett, Peter, Foster, Dylan J, and Telgarsky, Matus · 2017
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Learning to prune deep neural networks via layer-wise optimal brain surgeon
Dong, Xin, Chen, Shangyu, and Pan, Sinno Jialin · 2017
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Bayesian compression for deep learning
Louizos, Christos, Ullrich, Karen, and Welling, Max · 2017
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Variational dropout sparsifies deep neural networks
Molchanov, Dmitry, Ashukha, Arsenii, and Vetrov, Dmitry · 2017
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A pac-bayesian approach to spectrally-normalized margin bounds for neural networks
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Loss-aware binarization of deep networks
Hou, Lu, Yao, Quanming, and Kwok, James T · 2016
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On the expressive power of deep neural networks
Raghu, Maithra, Poole, Ben, Kleinberg, Jon, Ganguli, Surya, and Sohl-Dickstein, Jascha · 2016
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Han, Song, Mao, Huizi, and Dally, William J
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Learning both weights and connections for efficient neural network
Han, Song, Pool, Jeff, Tran, John, and Dally, William
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Neyshabur, Behnam, Bhojanapalli, Srinadh, McAllester, David, and Srebro, Nathan · 2017
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Robust large margin deep neural networks
Sokolic, Jure, Giryes, Raja, Sapiro, Guillermo, and Rodrigues, Miguel RD · 2017
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Wolfe, Nikolas, Sharma, Aditya, Drude, Lukas, and Raj, Bhiksha · 2017
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