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Predicting Parameters in Deep Learning
v1v2 (latest)

Predicting Parameters in Deep Learning

3 June 2013
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
    OOD
ArXiv (abs)PDFHTML

Papers citing "Predicting Parameters in Deep Learning"

42 / 392 papers shown
Title
Lazy Evaluation of Convolutional Filters
Lazy Evaluation of Convolutional Filters
Sam Leroux
Steven Bohez
Cedric De Boom
E. D. Coninck
Tim Verbelen
B. Vankeirsbilck
Pieter Simoens
Bart Dhoedt
35
6
0
27 May 2016
Functional Hashing for Compressing Neural Networks
Functional Hashing for Compressing Neural Networks
Lei Shi
Shikun Feng
Zhifan Zhu
51
4
0
20 May 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Andrew Ioannou
D. Robertson
R. Cipolla
A. Criminisi
111
266
0
20 May 2016
Refining Architectures of Deep Convolutional Neural Networks
Refining Architectures of Deep Convolutional Neural Networks
S. Shankar
D. Robertson
Yani Andrew Ioannou
A. Criminisi
R. Cipolla
3DV
43
30
0
22 Apr 2016
Sketching and Neural Networks
Sketching and Neural Networks
Amit Daniely
N. Lazić
Y. Singer
Kunal Talwar
38
10
0
19 Apr 2016
On the Compression of Recurrent Neural Networks with an Application to
  LVCSR acoustic modeling for Embedded Speech Recognition
On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition
Rohit Prabhavalkar
O. Alsharif
A. Bruguier
Ian McGraw
77
103
0
25 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
194
4,378
0
16 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between
Decision Forests, Convolutional Networks and the Models in-Between
Yani Andrew Ioannou
D. Robertson
Darko Zikic
Peter Kontschieder
Jamie Shotton
Matthew Brown
A. Criminisi
156
89
0
03 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
69
216
0
25 Jan 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
86
41
0
31 Dec 2015
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
296
5,269
0
22 Dec 2015
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
162
1,171
0
21 Dec 2015
Training CNNs with Low-Rank Filters for Efficient Image Classification
Training CNNs with Low-Rank Filters for Efficient Image Classification
Yani Andrew Ioannou
D. Robertson
Jamie Shotton
R. Cipolla
A. Criminisi
99
152
0
20 Nov 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
130
896
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
92
27
0
20 Nov 2015
Blending LSTMs into CNNs
Blending LSTMs into CNNs
Krzysztof J. Geras
Abdel-rahman Mohamed
R. Caruana
G. Urban
Shengjie Wang
Ozlem Aslan
Matthai Philipose
Matthew Richardson
Charles Sutton
99
60
0
19 Nov 2015
ACDC: A Structured Efficient Linear Layer
ACDC: A Structured Efficient Linear Layer
Marcin Moczulski
Misha Denil
J. Appleyard
Nando de Freitas
120
98
0
18 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
78
327
0
18 Nov 2015
Learning Neural Network Architectures using Backpropagation
Learning Neural Network Architectures using Backpropagation
Suraj Srinivas
R. Venkatesh Babu
AI4CE
79
30
0
17 Nov 2015
Binary embeddings with structured hashed projections
Binary embeddings with structured hashed projections
A. Choromańska
K. Choromanski
Mariusz Bojarski
Tony Jebara
Sanjiv Kumar
Yann LeCun
88
33
0
16 Nov 2015
Diversity Networks: Neural Network Compression Using Determinantal Point
  Processes
Diversity Networks: Neural Network Compression Using Determinantal Point Processes
Zelda E. Mariet
S. Sra
153
129
0
16 Nov 2015
Structured Transforms for Small-Footprint Deep Learning
Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani
Tara N. Sainath
Sanjiv Kumar
72
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
307
8,877
0
01 Oct 2015
Compression of Deep Neural Networks on the Fly
Compression of Deep Neural Networks on the Fly
G. Soulié
Vincent Gripon
M. Robert
67
25
0
29 Sep 2015
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
160
886
0
22 Sep 2015
INsight: A Neuromorphic Computing System for Evaluation of Large Neural
  Networks
INsight: A Neuromorphic Computing System for Evaluation of Large Neural Networks
Jaeyong Chung
T. Shin
Yongshin Kang
20
12
0
05 Aug 2015
Multilinear Map Layer: Prediction Regularization by Structural
  Constraint
Multilinear Map Layer: Prediction Regularization by Structural Constraint
Shuchang Zhou
Yuxin Wu
39
0
0
30 Jul 2015
Data-free parameter pruning for Deep Neural Networks
Data-free parameter pruning for Deep Neural Networks
Suraj Srinivas
R. Venkatesh Babu
3DPC
95
548
0
22 Jul 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker
  Product
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
87
26
0
21 Jul 2015
DeepFont: Identify Your Font from An Image
DeepFont: Identify Your Font from An Image
Zhangyang Wang
Jianchao Yang
Hailin Jin
Eli Shechtman
A. Agarwala
Jonathan Brandt
Thomas S. Huang
VLM
72
123
0
12 Jul 2015
Compressing Convolutional Neural Networks
Compressing Convolutional Neural Networks
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
85
142
0
14 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
331
6,728
0
08 Jun 2015
Compressing Neural Networks with the Hashing Trick
Compressing Neural Networks with the Hashing Trick
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
236
1,191
0
19 Apr 2015
Deep Fried Convnets
Deep Fried Convnets
Zichao Yang
Marcin Moczulski
Misha Denil
Nando de Freitas
Alex Smola
Le Song
Ziyu Wang
167
267
0
22 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
187
1,175
0
18 Dec 2014
Flattened Convolutional Neural Networks for Feedforward Acceleration
Flattened Convolutional Neural Networks for Feedforward Acceleration
Jonghoon Jin
Aysegül Dündar
Eugenio Culurciello
109
249
0
17 Dec 2014
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
277
1,202
0
30 Nov 2014
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSLFAtt
204
538
0
21 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
564
43,805
0
17 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
146
1,467
0
15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
199
1,697
0
02 Apr 2014
Low-Rank Approximations for Conditional Feedforward Computation in Deep
  Neural Networks
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Andrew S. Davis
I. Arel
109
81
0
16 Dec 2013
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