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Predicting Parameters in Deep Learning

3 June 2013

Papers citing "Predicting Parameters in Deep Learning"

50 / 392 papers shown

Title
Memory Matching Networks for One-Shot Image Recognition Qi Cai Yingwei Pan Ting Yao C. Yan Tao Mei VLM 81 265 0 23 Apr 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 164 396 0 16 Apr 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 95 79 0 15 Apr 2018
Representing smooth functions as compositions of near-identity functions with implications for deep network optimization Peter L. Bartlett S. Evans Philip M. Long 123 32 0 13 Apr 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 86 439 0 10 Apr 2018
The Loss Surface of XOR Artificial Neural Networks D. Mehta Xiaojun Zhao Edgar A. Bernal D. Wales 165 19 0 06 Apr 2018
Online Multi-Label Classification: A Label Compression Method Zahra Ahmadi Stefan Kramer 25 2 0 04 Apr 2018
Neural Network Quine Oscar Chang Hod Lipson 68 23 0 15 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 408 3,497 0 09 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 63 115 0 06 Mar 2018
Tensor Decomposition for Compressing Recurrent Neural Network Andros Tjandra S. Sakti Satoshi Nakamura 55 52 0 28 Feb 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 61 182 0 28 Feb 2018
Building Efficient ConvNets using Redundant Feature Pruning B. Ayinde J. Zurada VLM 3DPC 80 47 0 21 Feb 2018
DeepThin: A Self-Compressing Library for Deep Neural Networks Matthew Sotoudeh Sara S. Baghsorkhi 25 4 0 20 Feb 2018
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang Caiwen Ding Zhe Li Geng Yuan Siyu Liao ... Bo Yuan Xuehai Qian Jian Tang Qinru Qiu Xinyu Lin 77 33 0 18 Feb 2018
Attention-Based Guided Structured Sparsity of Deep Neural Networks A. Torfi Rouzbeh A. Shirvani Sobhan Soleymani Nasser M. Nasrabadi 85 23 0 13 Feb 2018
TSViz: Demystification of Deep Learning Models for Time-Series Analysis Shoaib Ahmed Siddiqui Dominique Mercier Mohsin Munir Andreas Dengel Sheraz Ahmed FAtt AI4TS 115 84 0 08 Feb 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing Qinghao Hu Peisong Wang Jian Cheng MQ 88 98 0 08 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks Jian Cheng Peisong Wang Gang Li Qinghao Hu Hanqing Lu 55 3 0 03 Feb 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 87 87 0 02 Feb 2018
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks Timo Hackel Mikhail (Misha) Usvyatsov S. Galliani Jan Dirk Wegner Konrad Schindler 87 14 0 31 Jan 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 80 66 0 31 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 102 177 0 23 Jan 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost Kevin Hsieh Ganesh Ananthanarayanan P. Bodík P. Bahl Matthai Philipose Phillip B. Gibbons O. Mutlu 96 280 0 10 Jan 2018
Generating Neural Networks with Neural Networks Lior Deutsch 105 21 0 06 Jan 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition Jinmian Ye Linnan Wang Guangxi Li Di Chen Shandian Zhe Xinqi Chu Zenglin Xu 111 132 0 14 Dec 2017
FFT-Based Deep Learning Deployment in Embedded Systems Sheng Lin Ning Liu M. Nazemi Hongjia Li Caiwen Ding Yanzhi Wang Massoud Pedram 57 54 0 13 Dec 2017
Deep Learning for IoT Big Data and Streaming Analytics: A Survey M. Mohammadi Ala I. Al-Fuqaha Sameh Sorour Mohsen Guizani 118 1,063 0 09 Dec 2017
Automated Pruning for Deep Neural Network Compression Franco Manessi A. Rozza Simone Bianco Paolo Napoletano Raimondo Schettini 94 57 0 05 Dec 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 131 72 0 23 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 78 801 0 16 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy Asit K. Mishra Debbie Marr FedML 74 331 0 15 Nov 2017
Weightless: Lossy Weight Encoding For Deep Neural Network Compression Brandon Reagen Udit Gupta Bob Adolf Michael Mitzenmacher Alexander M. Rush Gu-Yeon Wei David Brooks 63 38 0 13 Nov 2017
Revealing structure components of the retina by deep learning networks Qianyu Yan Zhaofei Yu Feng Chen Jian K. Liu FAtt 31 7 0 08 Nov 2017
Block-Sparse Recurrent Neural Networks Sharan Narang Eric Undersander G. Diamos 62 139 0 08 Nov 2017
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 82 172 0 07 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 87 121 0 07 Nov 2017
Characterizing Sparse Connectivity Patterns in Neural Networks Sourya Dey Kuan-Wen Huang Peter A. Beerel K. Chugg 60 11 0 06 Nov 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning Zhen He Shaobing Gao Liang Xiao Daxue Liu Hangen He David Barber AIMat 99 65 0 05 Nov 2017
Accelerating Training of Deep Neural Networks via Sparse Edge Processing Sourya Dey Yinan Shao K. Chugg Peter A. Beerel 70 16 0 03 Nov 2017
Compressing Word Embeddings via Deep Compositional Code Learning Raphael Shu Hideki Nakayama 97 129 0 03 Nov 2017
Knowledge Projection for Deep Neural Networks Zhi Zhang G. Ning Zhihai He 57 15 0 26 Oct 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 172 1,101 0 23 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 204 1,289 0 05 Oct 2017
Improving Efficiency in Convolutional Neural Network with Multilinear Filters D. Tran Alexandros Iosifidis Moncef Gabbouj 60 40 0 28 Sep 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 139 142 0 15 Sep 2017
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning B. Rouhani Mohammad Samragh Mojan Javaheripi T. Javidi F. Koushanfar AAML 53 15 0 08 Sep 2017
Performance Guaranteed Network Acceleration via High-Order Residual Quantization Zefan Li Bingbing Ni Wenjun Zhang Xiaokang Yang Wen Gao MQ 91 107 0 29 Aug 2017
Exploiting Convolution Filter Patterns for Transfer Learning Mehmet Aygun Y. Aytar H. K. Ekenel 55 12 0 23 Aug 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 242 766 0 17 Aug 2017