Learning Sparse Neural Networks through $L_0$ Regularization

4 December 2017

Papers citing "Learning Sparse Neural Networks through $L_0$ Regularization"

21 / 221 papers shown

Title
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 32 212 0 20 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 39 15 0 11 May 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data Tim van Elsloo Giorgio Patrini Hamish Ivey-Law FedML 30 42 0 29 Apr 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 16 170 0 28 Apr 2019
DocBERT: BERT for Document Classification Ashutosh Adhikari Achyudh Ram Raphael Tang Jimmy J. Lin LLMAG VLM 13 296 0 17 Apr 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 35 15 0 17 Mar 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 33 747 0 25 Feb 2019
$Learning Sparse Neural Networks via $\ell_0$ and T$\ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification$ Learning Sparse Neural Networks via $\ell_0$ and T $\ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification Fanghui Xue Jack Xin 26 7 0 20 Feb 2019
A Relational Tucker Decomposition for Multi-Relational Link Prediction Yanjie Wang Samuel Broscheit Rainer Gemulla 14 5 0 03 Feb 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 16 210 0 24 Jan 2019
On Network Science and Mutual Information for Explaining Deep Neural Networks Brian Davis Umang Bhatt Kartikeya Bhardwaj R. Marculescu J. M. F. Moura FedML SSL FAtt 21 10 0 20 Jan 2019
DAC: Data-free Automatic Acceleration of Convolutional Networks Xin Li Shuai Zhang Bolan Jiang Y. Qi Mooi Choo Choo Chuah N. Bi 23 7 0 20 Dec 2018
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 27 27 0 18 Dec 2018
Structured Pruning of Neural Networks with Budget-Aware Regularization Carl Lemaire Andrew Achkar Pierre-Marc Jodoin 27 92 0 23 Nov 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,452 0 11 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 96 1,176 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 38 132 0 03 Oct 2018
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 88 389 0 16 Apr 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 26 93 0 13 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 28 179 0 28 Feb 2018
On the stable recovery of deep structured linear networks under sparsity constraints F. Malgouyres 32 7 0 31 May 2017