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RePr: Improved Training of Convolutional Filters

RePr: Improved Training of Convolutional Filters

18 November 2018
Aaditya (Adi) Prakash
J. Storer
D. Florêncio
Cha Zhang
    VLM
    CVBM
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Papers citing "RePr: Improved Training of Convolutional Filters"

10 / 10 papers shown
Title
Edge Deep Learning Model Protection via Neuron Authorization
Edge Deep Learning Model Protection via Neuron Authorization
Jinyin Chen
Haibin Zheng
T. Liu
Rongchang Li
Yao Cheng
Xuhong Zhang
S. Ji
FedML
23
0
0
22 Mar 2023
Neural Network Compression by Joint Sparsity Promotion and Redundancy
  Reduction
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction
T. M. Khan
Syed S. Naqvi
A. Robles-Kelly
Erik H. W. Meijering
36
7
0
14 Oct 2022
Compact Multi-level Sparse Neural Networks with Input Independent
  Dynamic Rerouting
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting
Minghai Qin
Tianyun Zhang
Fei Sun
Yen-kuang Chen
M. Fardad
Yanzhi Wang
Yuan Xie
49
0
0
21 Dec 2021
Weight Evolution: Improving Deep Neural Networks Training through
  Evolving Inferior Weight Values
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
Zhenquan Lin
K. Guo
Xiaofen Xing
Xiangmin Xu
ODL
24
1
0
09 Oct 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
45
21
0
09 Mar 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
Xinming Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian Sun
136
1,548
0
11 Jan 2021
Repulsive Attention: Rethinking Multi-head Attention as Bayesian
  Inference
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
Bang An
Jie Lyu
Zhenyi Wang
Chunyuan Li
Changwei Hu
Fei Tan
Ruiyi Zhang
Yifan Hu
Changyou Chen
AAML
14
28
0
20 Sep 2020
Training Interpretable Convolutional Neural Networks by Differentiating
  Class-specific Filters
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyun Liang
Zhihao Ouyang
Yuyuan Zeng
Hang Su
Zihao He
Shutao Xia
Jun Zhu
Bo Zhang
16
47
0
16 Jul 2020
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
227
348
0
14 Jun 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
1