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ECC: Platform-Independent Energy-Constrained Deep Neural Network
  Compression via a Bilinear Regression Model

ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model

5 December 2018
Haichuan Yang
Yuhao Zhu
Ji Liu
ArXivPDFHTML

Papers citing "ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model"

13 / 13 papers shown
Title
MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures
MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures
Jiayu Qin
Jianchao Tan
Kaipeng Zhang
Xunliang Cai
Wei Wang
40
0
0
19 Feb 2025
Hardware-Aware DNN Compression for Homogeneous Edge Devices
Kunlong Zhang
Guiying Li
Ning Lu
Peng Yang
K. Tang
54
0
0
28 Jan 2025
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
Learning Robust and Lightweight Model through Separable Structured
  Transformations
Learning Robust and Lightweight Model through Separable Structured Transformations
Xian Wei
Yanhui Huang
Yang Xu
Mingsong Chen
Hai Lan
Yuanxiang Li
Zhongfeng Wang
Xuan Tang
OOD
24
0
0
27 Dec 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie
  Devices
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao
Xi Sheryl Zhang
Wentao Zhu
Jiaxing Wang
Sen Yang
Ji Liu
Jian Cheng
56
2
0
15 Oct 2021
Architecture Aware Latency Constrained Sparse Neural Networks
Architecture Aware Latency Constrained Sparse Neural Networks
Tianli Zhao
Qinghao Hu
Xiangyu He
Weixiang Xu
Jiaxing Wang
Cong Leng
Jian Cheng
31
0
0
01 Sep 2021
Dual-side Sparse Tensor Core
Dual-side Sparse Tensor Core
Yang-Feng Wang
Chen Zhang
Zhiqiang Xie
Cong Guo
Yunxin Liu
Jingwen Leng
12
74
0
20 May 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge
  Applications: A Survey
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
3DPC
MedIm
22
52
0
08 May 2020
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity
  Allocation
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
Xuefei Ning
Tianchen Zhao
Wenshuo Li
Peng Lei
Yu Wang
Huazhong Yang
18
103
0
05 Apr 2020
Energy-Aware Neural Architecture Optimization with Fast Splitting
  Steepest Descent
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
Dilin Wang
Meng Li
Lemeng Wu
Vikas Chandra
Qiang Liu
41
20
0
07 Oct 2019
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
515
0
09 Apr 2018
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
101
570
0
08 Dec 2012
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