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FitNets: Hints for Thin Deep Nets

FitNets: Hints for Thin Deep Nets

19 December 2014
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
    FedML
ArXivPDFHTML

Papers citing "FitNets: Hints for Thin Deep Nets"

50 / 667 papers shown
Title
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
33
81
0
10 Jul 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample
  Similarities Transfer
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
FedML
51
217
0
05 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
53
558
0
05 Jul 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
11
117
0
01 Jun 2017
Iterative Machine Teaching
Iterative Machine Teaching
Weiyang Liu
Bo Dai
Ahmad Humayun
C. Tay
Chen Yu
Linda B. Smith
James M. Rehg
Le Song
26
140
0
30 May 2017
Feature Incay for Representation Regularization
Feature Incay for Representation Regularization
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
35
16
0
29 May 2017
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural
  Networks
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
Hokchhay Tann
S. Hashemi
Iris Bahar
Sherief Reda
MQ
14
74
0
11 May 2017
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
G. Ning
Zhi Zhang
Zhiquan He
GAN
29
169
0
05 May 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
39
86
0
25 Apr 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
J. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
45
935
0
01 Apr 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
26
288
0
25 Mar 2017
Batch-normalized joint training for DNN-based distant speech recognition
Batch-normalized joint training for DNN-based distant speech recognition
Mirco Ravanelli
Philemon Brakel
M. Omologo
Yoshua Bengio
13
35
0
24 Mar 2017
Knowledge distillation using unlabeled mismatched images
Knowledge distillation using unlabeled mismatched images
Mandar M. Kulkarni
Kalpesh Patil
Shirish S. Karande
28
16
0
21 Mar 2017
Second-order Convolutional Neural Networks
Second-order Convolutional Neural Networks
Kaicheng Yu
Mathieu Salzmann
13
51
0
20 Mar 2017
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
Ryo Takahashi
Takashi Matsubara
K. Uehara
OOD
30
21
0
12 Feb 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
30
391
0
07 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
36
502
0
03 Feb 2017
Universal representations:The missing link between faces, text,
  planktons, and cat breeds
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
38
147
0
25 Jan 2017
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
14
2,550
0
12 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
19
1,451
0
07 Dec 2016
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez
Jorge Bernal
F. Sánchez
Gloria Fernández-Esparrach
Antonio M. López
Adriana Romero
M. Drozdzal
Aaron Courville
3DV
14
621
0
02 Dec 2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Jonathan Shen
Noranart Vesdapunt
Vishnu Naresh Boddeti
Kris M. Kitani
13
29
0
01 Dec 2016
Training Sparse Neural Networks
Training Sparse Neural Networks
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
11
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
21
412
0
19 Nov 2016
Factorized Bilinear Models for Image Recognition
Factorized Bilinear Models for Image Recognition
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
19
96
0
17 Nov 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
21
384
0
16 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau
V. Balasubramanian
18
181
0
30 Oct 2016
Small-footprint Highway Deep Neural Networks for Speech Recognition
Small-footprint Highway Deep Neural Networks for Speech Recognition
Liang Lu
Steve Renals
30
15
0
18 Oct 2016
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by
  Fine-Grained Deep Learning
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning
Yu Wang
Haofu Liao
Yang Feng
Xiangyang Xu
Jiebo Luo
CVBM
17
25
0
06 Oct 2016
Knowledge Guided Disambiguation for Large-Scale Scene Classification
  with Multi-Resolution CNNs
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Limin Wang
Sheng Guo
Weilin Huang
Yuanjun Xiong
Yu Qiao
24
142
0
04 Oct 2016
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
Petar Velickovic
Duo Wang
Nicholas D. Lane
Pietro Lió
18
31
0
01 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
84
1,585
0
27 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
42
1,842
0
22 Sep 2016
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression
  Recognition
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
Hui Ding
S. Kevin Zhou
Rama Chellappa
CVBM
39
363
0
21 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
18
118
0
22 Aug 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
35
1,035
0
14 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
18
303
0
09 Aug 2016
Knowledge Distillation for Small-footprint Highway Networks
Knowledge Distillation for Small-footprint Highway Networks
Liang Lu
Michelle Guo
Steve Renals
16
73
0
02 Aug 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
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
75
4,310
0
29 Jun 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge Distillation
Yoon Kim
Alexander M. Rush
27
1,098
0
25 Jun 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
45
933
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
68
7,907
0
23 May 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL
3DPC
OOD
UQCV
21
150
0
20 May 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
13
55
0
06 Apr 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
G. Urban
Krzysztof J. Geras
Samira Ebrahimi Kahou
Ozlem Aslan
Shengjie Wang
R. Caruana
Abdel-rahman Mohamed
Matthai Philipose
Matthew Richardson
20
47
0
17 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
14
10,125
0
16 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
Chia-Ju Chen
21
176
0
05 Mar 2016
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