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ExpandNets: Linear Over-parameterization to Train Compact Convolutional
  Networks

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks

26 November 2018
Shuxuan Guo
J. Álvarez
Mathieu Salzmann
ArXivPDFHTML

Papers citing "ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks"

18 / 18 papers shown
Title
ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations
ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations
Dmitriy Shopkhoev
Ammar Ali
Magauiya Zhussip
Valentin Malykh
Stamatios Lefkimmiatis
N. Komodakis
Sergey Zagoruyko
VLM
140
0
0
05 May 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb
T. Weber
Bernd Bischl
David Rügamer
113
0
0
04 Feb 2025
Structure-Preserving Network Compression Via Low-Rank Induced Training
  Through Linear Layers Composition
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
Xitong Zhang
Ismail R. Alkhouri
Rongrong Wang
41
0
0
06 May 2024
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image
  Restoration
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration
Youssef Mansour
Reinhard Heckel
40
0
0
31 Mar 2024
IPT-V2: Efficient Image Processing Transformer using Hierarchical
  Attentions
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions
Zhijun Tu
Kunpeng Du
Hanting Chen
Hai-lin Wang
Wei Li
Jie Hu
Yunhe Wang
ViT
44
4
0
31 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLL
MoMe
35
9
0
06 Mar 2024
Enhancing Cross-Category Learning in Recommendation Systems with
  Multi-Layer Embedding Training
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
Selim F. Yilmaz
Benjamin Ghaemmaghami
A. Singh
Benjamin Cho
Leo Orshansky
Lei Deng
Michael Orshansky
AI4TS
23
0
0
27 Sep 2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual
  Adaptation
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Tianxiang Hao
Hui Chen
Yuchen Guo
Guiguang Ding
42
16
0
30 Apr 2023
FastViT: A Fast Hybrid Vision Transformer using Structural
  Reparameterization
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
Pavan Kumar Anasosalu Vasu
J. Gabriel
Jeff J. Zhu
Oncel Tuzel
Anurag Ranjan
ViT
37
153
0
24 Mar 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training
  Efficiency
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
Vithursan Thangarasa
Shreyas Saxena
Abhay Gupta
Sean Lie
31
3
0
21 Mar 2023
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
Chengpeng Chen
Zichao Guo
Haien Zeng
Pengfei Xiong
Jian Dong
26
37
0
11 Nov 2022
Utilizing Excess Resources in Training Neural Networks
Utilizing Excess Resources in Training Neural Networks
Amit Henig
Raja Giryes
47
0
0
12 Jul 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for
  real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
27
6,236
0
06 Jul 2022
RepSR: Training Efficient VGG-style Super-Resolution Networks with
  Structural Re-Parameterization and Batch Normalization
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization
Xintao Wang
Chao Dong
Ying Shan
24
48
0
11 May 2022
Online Convolutional Re-parameterization
Online Convolutional Re-parameterization
Mu Hu
Junyi Feng
Jiashen Hua
Baisheng Lai
Jianqiang Huang
Xiaojin Gong
Xiansheng Hua
19
26
0
02 Apr 2022
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
65
56
0
03 May 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
DO-Conv: Depthwise Over-parameterized Convolutional Layer
DO-Conv: Depthwise Over-parameterized Convolutional Layer
Jinming Cao
Yangyan Li
Mingchao Sun
Ying Chen
Dani Lischinski
Daniel Cohen-Or
Baoquan Chen
Changhe Tu
OOD
33
165
0
22 Jun 2020
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