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Improving neural networks by preventing co-adaptation of feature
  detectors

Improving neural networks by preventing co-adaptation of feature detectors

3 July 2012
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
    VLM
ArXiv (abs)PDFHTML

Papers citing "Improving neural networks by preventing co-adaptation of feature detectors"

50 / 1,729 papers shown
Title
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Zhourong Chen
Xiaopeng Li
N. Zhang
47
2
0
16 Mar 2018
Efficient Hardware Realization of Convolutional Neural Networks using
  Intra-Kernel Regular Pruning
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning
Maurice Yang
Mahmoud Faraj
Assem Hussein
V. Gaudet
CVBM
64
12
0
15 Mar 2018
Leveraging Crowdsourcing Data For Deep Active Learning - An Application:
  Learning Intents in Alexa
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa
Jie Yang
Thomas Drake
Andreas C. Damianou
Y. Maarek
FedML
54
63
0
12 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
402
3,492
0
09 Mar 2018
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
Peng Xu
Denilson Barbosa
NoLa
55
88
0
09 Mar 2018
Rethinking Feature Distribution for Loss Functions in Image
  Classification
Rethinking Feature Distribution for Loss Functions in Image Classification
Weitao Wan
Yuanyi Zhong
Tianpeng Li
Jiansheng Chen
80
168
0
08 Mar 2018
Exponential Discriminative Metric Embedding in Deep Learning
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu
Zhangling Chen
Jun Wang
Hua-Ming Wu
61
11
0
07 Mar 2018
Learning Scene Gist with Convolutional Neural Networks to Improve Object
  Recognition
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition
K. Wu
Eric Wu
Gabriel Kreiman
56
25
0
06 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
133
882
0
03 Mar 2018
Avoiding overfitting of multilayer perceptrons by training derivatives
Avoiding overfitting of multilayer perceptrons by training derivatives
V. Avrutskiy
57
4
0
28 Feb 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong Learning
David Isele
Akansel Cosgun
CLL
94
460
0
28 Feb 2018
Neural Aesthetic Image Reviewer
Neural Aesthetic Image Reviewer
Wenshan Wang
Su Yang
Weishan Zhang
Jiulong Zhang
58
39
0
28 Feb 2018
Bonnet: An Open-Source Training and Deployment Framework for Semantic
  Segmentation in Robotics using CNNs
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs
Andres Milioto
C. Stachniss
SSeg
99
86
0
25 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness
Deep Defense: Training DNNs with Improved Adversarial Robustness
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
97
110
0
23 Feb 2018
Bayesian Incremental Learning for Deep Neural Networks
Bayesian Incremental Learning for Deep Neural Networks
Max Kochurov
T. Garipov
D. Podoprikhin
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
OODCLLBDL
62
22
0
20 Feb 2018
Out-distribution training confers robustness to deep neural networks
Out-distribution training confers robustness to deep neural networks
Mahdieh Abbasi
Christian Gagné
OOD
59
1
0
20 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
80
44
0
17 Feb 2018
Event Nugget Detection with Forward-Backward Recurrent Neural Networks
Event Nugget Detection with Forward-Backward Recurrent Neural Networks
Reza Ghaeini
Xiaoli Z. Fern
Liang Huang
Prasad Tadepalli
87
61
0
15 Feb 2018
Field-Programmable Deep Neural Network (DNN) Learning and Inference
  accelerator: a concept
Field-Programmable Deep Neural Network (DNN) Learning and Inference accelerator: a concept
L. Franca-Neto
27
1
0
14 Feb 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine
  Learning Abstractions
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache
O. Zinenko
Theodoros Theodoridis
Priya Goyal
Zach DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
126
438
0
13 Feb 2018
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error
  Resilience for Energy Efficient Deep Neural Network Accelerators
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators
Jeff Zhang
Kartheek Rangineni
Zahra Ghodsi
S. Garg
88
118
0
11 Feb 2018
$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively
  Scale-Invariant Space
G\mathcal{G}G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
133
39
0
11 Feb 2018
Coverless information hiding based on Generative Model
Coverless information hiding based on Generative Model
X. Duan
Haoxian Song
DiffM
43
23
0
10 Feb 2018
Deep Reinforcement Learning for Image Hashing
Deep Reinforcement Learning for Image Hashing
Yuxin Peng
Jian Zhang
Zhaoda Ye
23
46
0
07 Feb 2018
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced
  Understanding of Data
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data
B. Ayinde
J. Zurada
89
56
0
31 Jan 2018
DeepPap: Deep Convolutional Networks for Cervical Cell Classification
DeepPap: Deep Convolutional Networks for Cervical Cell Classification
Ling Zhang
Le Lu
Isabella Nogues
Ronald M. Summers
Shaoxiong Liu
Jianhua Yao
72
389
0
25 Jan 2018
Translating Pro-Drop Languages with Reconstruction Models
Translating Pro-Drop Languages with Reconstruction Models
Longyue Wang
Zhaopeng Tu
Shuming Shi
Tong Zhang
Yvette Graham
Qun Liu
82
48
0
10 Jan 2018
Recognizing Material Properties from Images
Recognizing Material Properties from Images
Gabriel Schwartz
Ko Nishino
65
68
0
09 Jan 2018
Data Augmentation by Pairing Samples for Images Classification
Data Augmentation by Pairing Samples for Images Classification
H. Inoue
190
425
0
09 Jan 2018
Boundary Optimizing Network (BON)
Boundary Optimizing Network (BON)
Marco Singh
A. Pai
64
0
0
08 Jan 2018
Implementation of Deep Convolutional Neural Network in Multi-class
  Categorical Image Classification
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification
P. Murugan
39
18
0
03 Jan 2018
An Attentive Sequence Model for Adverse Drug Event Extraction from
  Biomedical Text
An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text
Suriyadeepan Ramamoorthy
Selvakumar Murugan
39
22
0
02 Jan 2018
Bidirectional Attention for SQL Generation
Bidirectional Attention for SQL Generation
Tonglei Guo
Huilin Gao
96
13
0
30 Dec 2017
Neural network augmented inverse problems for PDEs
Neural network augmented inverse problems for PDEs
Jens Berg
K. Nystrom
94
41
0
27 Dec 2017
Tensor Regression Networks with various Low-Rank Tensor Approximations
Tensor Regression Networks with various Low-Rank Tensor Approximations
Xingwei Cao
Guillaume Rabusseau
61
21
0
27 Dec 2017
Regularization and Optimization strategies in Deep Convolutional Neural
  Network
Regularization and Optimization strategies in Deep Convolutional Neural Network
P. Murugan
S. Durairaj
48
48
0
13 Dec 2017
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
M. Mohammadi
Ala I. Al-Fuqaha
Sameh Sorour
Mohsen Guizani
116
1,062
0
09 Dec 2017
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
228
702
0
06 Dec 2017
Data Dropout in Arbitrary Basis for Deep Network Regularization
Data Dropout in Arbitrary Basis for Deep Network Regularization
M. Rahmani
George Atia
OOD
37
3
0
04 Dec 2017
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNNAI4TS
127
625
0
04 Dec 2017
Differentially Private Variational Dropout
Differentially Private Variational Dropout
Beyza Ermis
A. Cemgil
81
5
0
30 Nov 2017
Differentially Private Dropout
Differentially Private Dropout
Beyza Ermis
A. Cemgil
SyDa
47
4
0
30 Nov 2017
Gaussian Process Neurons Learn Stochastic Activation Functions
Gaussian Process Neurons Learn Stochastic Activation Functions
Sebastian Urban
Marcus Basalla
Patrick van der Smagt
BDL
67
4
0
29 Nov 2017
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese
  Dependency Parsing
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing
Xuancheng Ren
Xu Sun
50
1
0
28 Nov 2017
Learning to Remember Translation History with a Continuous Cache
Learning to Remember Translation History with a Continuous Cache
Zhaopeng Tu
Yang Liu
Shuming Shi
Tong Zhang
CLL
95
181
0
26 Nov 2017
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
161
886
0
26 Nov 2017
Attended End-to-end Architecture for Age Estimation from Facial
  Expression Videos
Attended End-to-end Architecture for Age Estimation from Facial Expression Videos
Wenjie Pei
H. Dibeklioğlu
T. Baltrušaitis
David Tax
CVBM
49
42
0
23 Nov 2017
Regularization of Deep Neural Networks with Spectral Dropout
Regularization of Deep Neural Networks with Spectral Dropout
Salman Khan
Munawar Hayat
Fatih Porikli
70
103
0
23 Nov 2017
Locally Smoothed Neural Networks
Locally Smoothed Neural Networks
Liang Pang
Yanyan Lan
Jun Xu
Jiafeng Guo
Xueqi Cheng
48
5
0
22 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
366
8,940
0
21 Nov 2017
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