Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1611.06321
Cited By
Learning the Number of Neurons in Deep Networks
19 November 2016
J. Álvarez
Mathieu Salzmann
Re-assign community
ArXiv
PDF
HTML
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
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
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
Mahsa Taheri
Johannes Lederer
100
0
0
13 Feb 2025
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
ℓ
1
\ell_1
ℓ
1
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
Xinglong Sun
Barath Lakshmanan
Maying Shen
Shiyi Lan
Jingde Chen
Jose Alvarez
VLM
44
3
0
17 Jun 2024
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
Guillaume Perez
Michel Barlaud
34
0
0
03 May 2024
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
Dhananjay Saikumar
Blesson Varghese
30
0
0
01 Apr 2024
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
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
M. Lê
Pierre Wolinski
Julyan Arbel
34
8
0
20 Nov 2023
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
Amir M. Mansourian
Rozhan Ahmadi
S. Kasaei
44
2
0
08 Aug 2023
Performance of
ℓ
1
\ell_1
ℓ
1
Regularization for Sparse Convex Optimization
Kyriakos Axiotis
T. Yasuda
30
0
0
14 Jul 2023
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
C. K. Loo
W. S. Liew
S. Wermter
CLL
13
0
0
23 Jun 2023
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
Xinwei Ou
Zhangxin Chen
Ce Zhu
Yipeng Liu
36
2
0
22 Mar 2023
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
Yihui He
35
1
0
14 Nov 2022
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
Ryan Humble
Maying Shen
J. Latorre
Eric Darve1
J. Álvarez
22
14
0
04 Nov 2022
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
Sivasubramaniam Janarthan
S. Thuseethan
Sutharshan Rajasegarar
John Yearwood
24
2
0
04 Oct 2022
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
Cyprien Gille
F. Guyard
Marc Antonini
Michel Barlaud
16
3
0
09 Sep 2022
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
Chong Min John Tan
Mehul Motani
32
52
0
14 Jul 2022
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
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
29
9
0
24 May 2022
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
Tyler L. Hayes
Christopher Kanan
CLL
40
54
0
21 Mar 2022
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
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
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
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
Meet P. Vadera
Benjamin M. Marlin
UQCV
BDL
18
5
0
03 Dec 2021
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
Maying Shen
Pavlo Molchanov
Hongxu Yin
J. Álvarez
VLM
28
53
0
22 Oct 2021
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
Mengqiao Han
Xiabi Liu
Zhaoyang Hai
Xin Duan
11
1
0
11 Oct 2021
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
L. Ho
Vu C. Dinh
8
4
0
27 Sep 2021
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
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
Xiaohan Ding
Tianxiang Hao
Jungong Han
Yuchen Guo
Guiguang Ding
27
11
0
30 Jul 2021
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
Yong Guo
Yaofo Chen
Mingkui Tan
Kui Jia
Jian Chen
Jingdong Wang
36
8
0
30 Jun 2021
1
2
3
4
5
Next