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Predicting Parameters in Deep Learning

3 June 2013

Papers citing "Predicting Parameters in Deep Learning"

50 / 392 papers shown

Title
Structural plasticity on an accelerated analog neuromorphic hardware system Sebastian Billaudelle Benjamin Cramer Mihai A. Petrovici Korbinian Schreiber David Kappel Johannes Schemmel K. Meier 63 24 0 27 Dec 2019
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks Andrey Kuzmin Markus Nagel Saurabh Pitre Sandeep Pendyam Tijmen Blankevoort Max Welling 75 27 0 20 Dec 2019
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning Seul-Ki Yeom P. Seegerer Sebastian Lapuschkin Alexander Binder Simon Wiedemann K. Müller Wojciech Samek CVBM 81 210 0 18 Dec 2019
Tangent Space Separability in Feedforward Neural Networks Balint Daroczy Rita Aleksziev András A. Benczúr 50 3 0 18 Dec 2019
An Improving Framework of regularization for Network Compression E. Zhenqian Weiguo Gao AI4CE 38 0 0 11 Dec 2019
Compressing 3DCNNs Based on Tensor Train Decomposition Dingheng Wang Guangshe Zhao Guoqi Li Lei Deng Yang Wu 64 6 0 08 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 142 332 0 04 Dec 2019
Online Knowledge Distillation with Diverse Peers Defang Chen Jian-Ping Mei Can Wang Yan Feng Chun-Yen Chen FedML 87 305 0 01 Dec 2019
Pruning at a Glance: Global Neural Pruning for Model Compression Abdullah Salama O. Ostapenko T. Klein Moin Nabi VLM 47 12 0 30 Nov 2019
Structured Multi-Hashing for Model Compression Elad Eban Yair Movshovitz-Attias Hao Wu Mark Sandler Andrew Poon Yerlan Idelbayev M. A. Carreira-Perpiñán 78 18 0 25 Nov 2019
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation Junjie Liu Dongchao Wen Hongxing Gao Wei Tao Tse-Wei Chen Kinya Osa Masami Kato 81 21 0 13 Nov 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks A. Yaguchi Taiji Suzuki Shuhei Nitta Y. Sakata A. Tanizawa 88 9 0 29 Oct 2019
Deep Learning at the Edge Sahar Voghoei N. Tonekaboni Jason G. Wallace H. Arabnia 183 41 0 22 Oct 2019
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 92 18 0 11 Oct 2019
DEVDAN: Deep Evolving Denoising Autoencoder Andri Ashfahani Mahardhika Pratama E. Lughofer Yew-Soon Ong 109 99 0 08 Oct 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 84 260 0 28 Sep 2019
Training convolutional neural networks with cheap convolutions and online distillation Jiao Xie Shaohui Lin Yichen Zhang Linkai Luo 63 12 0 28 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 98 18 0 27 Sep 2019
Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu GAN 139 18 0 25 Sep 2019
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network Taiji Suzuki Hiroshi Abe Tomoaki Nishimura AI4CE 81 44 0 25 Sep 2019
A Robust Hybrid Approach for Textual Document Classification Muhammad Nabeel Asim Muhammad Usman Ghani Khan M. I. Malik Andreas Dengel Sheraz Ahmed 56 18 0 12 Sep 2019
Compact Autoregressive Network Di Wang Feiqing Huang Jingyu Zhao Guodong Li Guangjian Tian 28 3 0 06 Sep 2019
Knowledge Distillation for End-to-End Person Search Bharti Munjal Fabio Galasso S. Amin FedML 119 17 0 03 Sep 2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression Genta Indra Winata Andrea Madotto Jamin Shin Elham J. Barezi Pascale Fung 64 29 0 27 Aug 2019
Patient Knowledge Distillation for BERT Model Compression S. Sun Yu Cheng Zhe Gan Jingjing Liu 151 843 0 25 Aug 2019
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks Yunxiang Zhang Chenglong Zhao Bingbing Ni Jian Zhang Haoran Deng 50 2 0 06 Aug 2019
Exploiting the Redundancy in Convolutional Filters for Parameter Reduction Kumara Kahatapitiya Ranga Rodrigo 25 0 0 26 Jul 2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching Haoran Zhao Changrui Chen Junyu Dong Xin Sun Zihe Dong 80 59 0 23 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 85 11 0 13 Jul 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Wenxiao Wang Cong Fu Jishun Guo Deng Cai Xiaofei He VLM 64 72 0 25 Jun 2019
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition Zhisheng Zhong Fangyin Wei Zhouchen Lin Chao Zhang 62 29 0 18 Jun 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 121 36 0 07 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 82 101 0 05 Jun 2019
Intrinsic dimension of data representations in deep neural networks A. Ansuini Alessandro Laio Jakob H. Macke D. Zoccolan AI4CE 117 279 0 29 May 2019
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 74 51 0 24 May 2019
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks Lior Deutsch Erik Nijkamp Yu Yang 71 16 0 07 May 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask Hattie Zhou Janice Lan Rosanne Liu J. Yosinski UQCV 103 389 0 03 May 2019
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars Alexandros Kouris Stylianos I. Venieris Michail Rizakis C. Bouganis AI4TS 44 12 0 02 May 2019
Deep Anchored Convolutional Neural Networks Jiahui Huang Kshitij Dwivedi Gemma Roig 38 1 0 22 Apr 2019
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System Seulki Lee Bashima Islam Yubo Luo S. Nirjon 23 35 0 21 Apr 2019
Shakeout: A New Approach to Regularized Deep Neural Network Training Guoliang Kang Jun Yu Li Dacheng Tao 59 59 0 13 Apr 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning Xin Wang Feng Yu Ruth Wang Trevor Darrell Joseph E. Gonzalez 83 105 0 11 Apr 2019
Compressing deep neural networks by matrix product operators Ze-Feng Gao Song Cheng Rong-Qiang He Z. Xie Hui-Hai Zhao Zhong-Yi Lu Tao Xiang 85 38 0 11 Apr 2019
Knowledge Distillation For Recurrent Neural Network Language Modeling With Trust Regularization Yangyang Shi M. Hwang X. Lei Haoyu Sheng 152 25 0 08 Apr 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure Xiaohan Ding Guiguang Ding Yuchen Guo Jiawei Han 3DPC 75 185 0 08 Apr 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks Xijun Wang Meina Kan Shiguang Shan Xilin Chen 72 71 0 31 Mar 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 104 565 0 25 Mar 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations Tri Dao Albert Gu Matthew Eichhorn Atri Rudra Christopher Ré 144 108 0 14 Mar 2019
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 54 26 0 12 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 97 164 0 07 Mar 2019