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Memory Bounded Deep Convolutional Networks

Memory Bounded Deep Convolutional Networks

3 December 2014
Maxwell D. Collins
Pushmeet Kohli
ArXivPDFHTML

Papers citing "Memory Bounded Deep Convolutional Networks"

27 / 27 papers shown
Title
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael E. Sander
J. Puigcerver
Josip Djolonga
Gabriel Peyré
Mathieu Blondel
21
18
0
02 Feb 2023
Spartan: Differentiable Sparsity via Regularized Transportation
Spartan: Differentiable Sparsity via Regularized Transportation
Kai Sheng Tai
Taipeng Tian
Ser-Nam Lim
31
11
0
27 May 2022
Data-Efficient Structured Pruning via Submodular Optimization
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi
Suraj Srinivas
Simon Lacoste-Julien
20
18
0
09 Mar 2022
Deep Learning at the Edge
Deep Learning at the Edge
Sahar Voghoei
N. Tonekaboni
Jason G. Wallace
H. Arabnia
15
41
0
22 Oct 2019
The State of Sparsity in Deep Neural Networks
The State of Sparsity in Deep Neural Networks
Trevor Gale
Erich Elsen
Sara Hooker
21
743
0
25 Feb 2019
Deep Asymmetric Networks with a Set of Node-wise Variant Activation
  Functions
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions
Jinhyeok Jang
Hyunjoong Cho
Jaehong Kim
Jaeyeon Lee
Seungjoon Yang
18
2
0
11 Sep 2018
Constrained Deep Learning using Conditional Gradient and Applications in
  Computer Vision
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
Sathya Ravi
Tuan Dinh
Vishnu Suresh Lokhande
Vikas Singh
AI4CE
33
22
0
17 Mar 2018
Recurrent Residual Module for Fast Inference in Videos
Recurrent Residual Module for Fast Inference in Videos
Bowen Pan
Wuwei Lin
Xiaolin Fang
Chaoqin Huang
Bolei Zhou
Cewu Lu
ObjD
28
33
0
27 Feb 2018
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
30
70
0
23 Nov 2017
Deep Rewiring: Training very sparse deep networks
Deep Rewiring: Training very sparse deep networks
G. Bellec
David Kappel
Wolfgang Maass
Robert Legenstein
BDL
29
274
0
14 Nov 2017
BitNet: Bit-Regularized Deep Neural Networks
BitNet: Bit-Regularized Deep Neural Networks
Aswin Raghavan
Mohamed R. Amer
S. Chai
Graham Taylor
MQ
38
10
0
16 Aug 2017
ShaResNet: reducing residual network parameter number by sharing weights
ShaResNet: reducing residual network parameter number by sharing weights
Alexandre Boulch
32
26
0
28 Feb 2017
Training Sparse Neural Networks
Training Sparse Neural Networks
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
19
204
0
21 Nov 2016
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
43
412
0
19 Nov 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning
Compact Deep Convolutional Neural Networks With Coarse Pruning
S. Anwar
Wonyong Sung
3DPC
23
55
0
30 Oct 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
16
78
0
19 Jul 2016
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via Pruning
A. See
Minh-Thang Luong
Christopher D. Manning
MedIm
VLM
26
221
0
29 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
25
96
0
07 Jun 2016
Beyond Sharing Weights for Deep Domain Adaptation
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
16
439
0
21 Mar 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DH
CVBM
26
141
0
07 Dec 2015
ACDC: A Structured Efficient Linear Layer
ACDC: A Structured Efficient Linear Layer
Marcin Moczulski
Misha Denil
J. Appleyard
Nando de Freitas
30
98
0
18 Nov 2015
Structured Transforms for Small-Footprint Deep Learning
Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani
Tara N. Sainath
Sanjiv Kumar
29
240
0
06 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
45
8,732
0
01 Oct 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
32
46
0
09 Jun 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
44
447
0
08 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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