Theoretical Properties for Neural Networks with Weight Matrices of Low
Displacement Rank

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Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank

1 March 2017

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Papers citing "Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank"

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Title
A Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Shupeng Ning Hanqing Zhu Chenghao Feng Jiaqi Gu David Z. Pan Ray T. Chen 80 0 0 01 Feb 2025
Arithmetic Circuits, Structured Matrices and (not so) Deep Learning Atri Rudra 71 1 0 24 Jun 2022
A Secure and Efficient Federated Learning Framework for NLP Jieren Deng Chenghong Wang Xianrui Meng Yijue Wang Ji Li Sheng Lin Shuo Han Fei Miao Sanguthevar Rajasekaran Caiwen Ding FedML 121 22 0 28 Jan 2022
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA Bingbing Li Santosh Pandey Haowen Fang Yanjun Lyv Ji Li Jieyang Chen Mimi Xie Lipeng Wan Hang Liu Caiwen Ding AI4CE 85 182 0 16 Jul 2020
Provable Filter Pruning for Efficient Neural Networks Lucas Liebenwein Cenk Baykal Harry Lang Dan Feldman Daniela Rus VLM 3DPC 100 141 0 18 Nov 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
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding Shuo Wang Ning Liu Kaidi Xu Yanzhi Wang Yun Liang MQ 55 90 0 29 Sep 2019
CircConv: A Structured Convolution with Low Complexity Siyu Liao Zhe Li Liang Zhao Qinru Qiu Yanzhi Wang Bo Yuan 83 18 0 28 Feb 2019
Exploring Weight Symmetry in Deep Neural Networks S. Hu Sergey Zagoruyko N. Komodakis 51 33 0 28 Dec 2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Zhe Li Caiwen Ding Siyue Wang Wujie Wen Youwei Zhuo ... Qinru Qiu Wenyao Xu Xinyu Lin Xuehai Qian Yanzhi Wang MQ 58 65 0 12 Dec 2018
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM David Cortes Tianyun Zhang Kaiqi Zhang Jiayu Li Jiaming Xie Yun Liang Sijia Liu Xinyu Lin Yanzhi Wang MQ 58 45 0 05 Nov 2018
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 116 40 0 04 Oct 2018
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions C. Wu 64 21 0 06 Sep 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
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs Shuo Wang Zhe Li Caiwen Ding Bo Yuan Yanzhi Wang Qinru Qiu Yun Liang 61 197 0 14 Mar 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 120 21 0 10 Feb 2018
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
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu ... Yipeng Zhang Jian Tang Qinru Qiu Xinyu Lin Bo Yuan GNN 73 260 0 29 Aug 2017