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Learning the Number of Neurons in Deep Networks

Learning the Number of Neurons in Deep Networks

19 November 2016
J. Álvarez
Mathieu Salzmann
ArXivPDFHTML

Papers citing "Learning the Number of Neurons in Deep Networks"

50 / 204 papers shown
Title
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Yi Hu
Jinhang Zuo
Eddie Zhang
Bob Iannucci
Carlee Joe-Wong
37
0
0
13 Apr 2025
MDP: Multidimensional Vision Model Pruning with Latency Constraint
MDP: Multidimensional Vision Model Pruning with Latency Constraint
Xinglong Sun
Barath Lakshmanan
Maying Shen
Shiyi Lan
Jingde Chen
Jose M. Alvarez
VLM
62
0
0
02 Apr 2025
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
100
0
0
13 Feb 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency
Advancing Weight and Channel Sparsification with Enhanced Saliency
Xinglong Sun
Maying Shen
Hongxu Yin
Lei Mao
Pavlo Molchanov
Jose M. Alvarez
54
1
0
05 Feb 2025
Sparse Deep Learning Models with the $\ell_1$ Regularization
Sparse Deep Learning Models with the ℓ1\ell_1ℓ1​ Regularization
Lixin Shen
Rui Wang
Yuesheng Xu
Mingsong Yan
25
0
0
05 Aug 2024
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with
  Latency Constraint
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint
Xinglong Sun
Barath Lakshmanan
Maying Shen
Shiyi Lan
Jingde Chen
Jose Alvarez
VLM
44
3
0
17 Jun 2024
Subspace Node Pruning
Subspace Node Pruning
Joshua Offergeld
Marcel van Gerven
Nasir Ahmad
46
0
0
26 May 2024
Multi-level projection with exponential parallel speedup; Application to
  sparse auto-encoders neural networks
Multi-level projection with exponential parallel speedup; Application to sparse auto-encoders neural networks
Guillaume Perez
Michel Barlaud
34
0
0
03 May 2024
Rethinking Pruning for Vision-Language Models: Strategies for Effective
  Sparsity and Performance Restoration
Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity and Performance Restoration
Shwai He
Ang Li
Tianlong Chen
VLM
62
1
0
03 Apr 2024
DRIVE: Dual Gradient-Based Rapid Iterative Pruning
DRIVE: Dual Gradient-Based Rapid Iterative Pruning
Dhananjay Saikumar
Blesson Varghese
30
0
0
01 Apr 2024
Enhanced Sparsification via Stimulative Training
Enhanced Sparsification via Stimulative Training
Shengji Tang
Weihao Lin
Hancheng Ye
Peng Ye
Chong Yu
Baopu Li
Tao Chen
40
2
0
11 Mar 2024
LayerCollapse: Adaptive compression of neural networks
LayerCollapse: Adaptive compression of neural networks
Soheil Zibakhsh Shabgahi
Mohammad Soheil Shariff
F. Koushanfar
AI4CE
20
1
0
29 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive
  Review
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
34
8
0
20 Nov 2023
Polynomially Over-Parameterized Convolutional Neural Networks Contain
  Structured Strong Winning Lottery Tickets
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
A. D. Cunha
Francesco d’Amore
Emanuele Natale
MLT
27
1
0
16 Nov 2023
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic
  Segmentation
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic Segmentation
Amir M. Mansourian
Rozhan Ahmadi
S. Kasaei
44
2
0
08 Aug 2023
Performance of $\ell_1$ Regularization for Sparse Convex Optimization
Performance of ℓ1\ell_1ℓ1​ Regularization for Sparse Convex Optimization
Kyriakos Axiotis
T. Yasuda
30
0
0
14 Jul 2023
A Proximal Algorithm for Network Slimming
A Proximal Algorithm for Network Slimming
Kevin Bui
Fanghui Xue
Fredrick Park
Y. Qi
Jack Xin
3DPC
15
2
0
02 Jul 2023
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion
C. K. Loo
W. S. Liew
S. Wermter
CLL
13
0
0
23 Jun 2023
Magnitude Attention-based Dynamic Pruning
Magnitude Attention-based Dynamic Pruning
Jihye Back
Namhyuk Ahn
Jang-Hyun Kim
32
2
0
08 Jun 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance
  between Compact Architecture and Fast Training
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Xinwei Ou
Zhangxin Chen
Ce Zhu
Yipeng Liu
36
2
0
22 Mar 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained
  Classifiers
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
44
35
0
27 Jan 2023
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
35
1
0
14 Nov 2022
MGiaD: Multigrid in all dimensions. Efficiency and robustness by
  coarsening in resolution and channel dimensions
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions
Antonia van Betteray
Matthias Rottmann
Karsten Kahl
31
2
0
10 Nov 2022
Soft Masking for Cost-Constrained Channel Pruning
Soft Masking for Cost-Constrained Channel Pruning
Ryan Humble
Maying Shen
J. Latorre
Eric Darve1
J. Álvarez
22
14
0
04 Nov 2022
Structural Pruning via Latency-Saliency Knapsack
Structural Pruning via Latency-Saliency Knapsack
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jianna Liu
J. Álvarez
37
47
0
13 Oct 2022
Double Attention-based Lightweight Network for Plant Pest Recognition
Double Attention-based Lightweight Network for Plant Pest Recognition
Sivasubramaniam Janarthan
S. Thuseethan
Sutharshan Rajasegarar
John Yearwood
24
2
0
04 Oct 2022
Sequential Attention for Feature Selection
Sequential Attention for Feature Selection
T. Yasuda
M. Bateni
Lin Chen
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
39
11
0
29 Sep 2022
Learning sparse auto-encoders for green AI image coding
Learning sparse auto-encoders for green AI image coding
Cyprien Gille
F. Guyard
Marc Antonini
Michel Barlaud
16
3
0
09 Sep 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yihe Lu
Ziyu Guan
Yaming Yang
Maoguo Gong
Wei Zhao
Kaiyuan Feng
38
2
0
13 Aug 2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning
DropNet: Reducing Neural Network Complexity via Iterative Pruning
Chong Min John Tan
Mehul Motani
32
52
0
14 Jul 2022
Scaling Private Deep Learning with Low-Rank and Sparse Gradients
Scaling Private Deep Learning with Low-Rank and Sparse Gradients
Ryuichi Ito
Seng Pei Liew
Tsubasa Takahashi
Yuya Sasaki
Makoto Onizuka
30
1
0
06 Jul 2022
Compression-aware Training of Neural Networks using Frank-Wolfe
Compression-aware Training of Neural Networks using Frank-Wolfe
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
29
9
0
24 May 2022
Statistical Guarantees for Approximate Stationary Points of Simple
  Neural Networks
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
29
0
0
09 May 2022
Online Continual Learning for Embedded Devices
Online Continual Learning for Embedded Devices
Tyler L. Hayes
Christopher Kanan
CLL
40
54
0
21 Mar 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
Ulugbek S. Kamilov
Samet Oymak
CLL
30
11
0
03 Mar 2022
Optimal channel selection with discrete QCQP
Optimal channel selection with discrete QCQP
Yeonwoo Jeong
Deokjae Lee
Gaon An
Changyong Son
Hyun Oh Song
16
1
0
24 Feb 2022
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for
  Bayesian Deep Learning
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning
Meet P. Vadera
Adam D. Cobb
Brian Jalaian
Benjamin M. Marlin
BDL
23
2
0
08 Feb 2022
Pruning-aware Sparse Regularization for Network Pruning
Pruning-aware Sparse Regularization for Network Pruning
Nanfei Jiang
Xu Zhao
Chaoyang Zhao
Yongqi An
Ming Tang
Jinqiao Wang
3DPC
24
12
0
18 Jan 2022
Challenges and Opportunities in Approximate Bayesian Deep Learning for
  Intelligent IoT Systems
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
Meet P. Vadera
Benjamin M. Marlin
UQCV
BDL
18
5
0
03 Dec 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Fei Wu
Jingren Zhou
Hongxia Yang
24
91
0
11 Nov 2021
When to Prune? A Policy towards Early Structural Pruning
When to Prune? A Policy towards Early Structural Pruning
Maying Shen
Pavlo Molchanov
Hongxu Yin
J. Álvarez
VLM
28
53
0
22 Oct 2021
HALP: Hardware-Aware Latency Pruning
HALP: Hardware-Aware Latency Pruning
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jianna Liu
J. Álvarez
VLM
46
13
0
20 Oct 2021
Mining the Weights Knowledge for Optimizing Neural Network Structures
Mining the Weights Knowledge for Optimizing Neural Network Structures
Mengqiao Han
Xiabi Liu
Zhaoyang Hai
Xin Duan
11
1
0
11 Oct 2021
Convolutional Neural Network Compression through Generalized Kronecker
  Product Decomposition
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
Marawan Gamal Abdel Hameed
Marzieh S. Tahaei
A. Mosleh
V. Nia
47
25
0
29 Sep 2021
Searching for Minimal Optimal Neural Networks
Searching for Minimal Optimal Neural Networks
L. Ho
Vu C. Dinh
8
4
0
27 Sep 2021
Layer-wise Model Pruning based on Mutual Information
Layer-wise Model Pruning based on Mutual Information
Chun Fan
Jiwei Li
Xiang Ao
Fei Wu
Yuxian Meng
Xiaofei Sun
48
19
0
28 Aug 2021
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical
  Guarantees and Implementation Details
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details
Sanket R. Jantre
Shrijita Bhattacharya
T. Maiti
BDL
10
13
0
25 Aug 2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep
  and Complicated CNN
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
Xiaohan Ding
Tianxiang Hao
Jungong Han
Yuchen Guo
Guiguang Ding
27
11
0
30 Jul 2021
Lockout: Sparse Regularization of Neural Networks
Lockout: Sparse Regularization of Neural Networks
Gilmer Valdes
W. Arbelo
Y. Interian
J. Friedman
19
2
0
15 Jul 2021
Content-Aware Convolutional Neural Networks
Content-Aware Convolutional Neural Networks
Yong Guo
Yaofo Chen
Mingkui Tan
Kui Jia
Jian Chen
Jingdong Wang
36
8
0
30 Jun 2021
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