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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
Catching Attention with Automatic Pull Quote Selection
Catching Attention with Automatic Pull Quote Selection
Tanner A. Bohn
Charles X. Ling
72
4
0
27 May 2020
A Structural Model for Contextual Code Changes
A Structural Model for Contextual Code Changes
Shaked Brody
Uri Alon
Eran Yahav
KELM
99
7
0
27 May 2020
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning
  Study
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study
Himanshu Sharma
Elise Jennings
BDL
71
4
0
23 May 2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and
  Sonar Image Classification
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Mateusz Ochal
Jose Vazquez
Y. Pétillot
Sen Wang
73
26
0
10 May 2020
Noisy Differentiable Architecture Search
Noisy Differentiable Architecture Search
Xiangxiang Chu
Bo Zhang
44
43
0
07 May 2020
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality
  Reduction
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
T. Koike-Akino
Ye Wang
55
12
0
06 May 2020
Regularized Pooling
Regularized Pooling
Takato Otsuzuki
Hideaki Hayashi
Yuchen Zheng
S. Uchida
27
5
0
06 May 2020
On the Inference Calibration of Neural Machine Translation
On the Inference Calibration of Neural Machine Translation
Shuo Wang
Zhaopeng Tu
Shuming Shi
Yang Liu
113
83
0
03 May 2020
Entity Candidate Network for Whole-Aware Named Entity Recognition
Entity Candidate Network for Whole-Aware Named Entity Recognition
Wendong He
Yizhen Shao
Pingjian Zhang
46
1
0
29 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
177
794
0
28 Apr 2020
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
Rodrigo Canaan
Xianbo Gao
Youjin Chung
Julian Togelius
Andy Nealen
Stefan Menzel
47
4
0
28 Apr 2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via
  Alternating Minimization
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
Xingjian Li
Haoyi Xiong
Haozhe An
Dejing Dou
Chengzhong Xu
FedML
26
3
0
26 Apr 2020
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Duy-Kien Nguyen
Vedanuj Goswami
Xinlei Chen
71
23
0
24 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
H. Ghasemzadeh
CLL
67
43
0
24 Apr 2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in
  Deep Learning Algorithms
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms
J. Caldeira
Brian D. Nord
BDLUQCVUD
91
81
0
22 Apr 2020
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in
  Image Classification
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
Hongjun Choi
Anirudh Som
Pavan Turaga
39
25
0
21 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax
  Layer
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Zheng-Hua Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
104
32
0
20 Apr 2020
Dynamic Feature Integration for Simultaneous Detection of Salient
  Object, Edge and Skeleton
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
Jiangjiang Liu
Qibin Hou
Ming-Ming Cheng
ObjD
77
126
0
18 Apr 2020
Recommendation system using a deep learning and graph analysis approach
Recommendation system using a deep learning and graph analysis approach
Mahdi Kherad
Amir Jalaly Bidgoly
GNN
71
17
0
17 Apr 2020
Light-Weighted CNN for Text Classification
Light-Weighted CNN for Text Classification
R. Yadav
34
7
0
16 Apr 2020
Towards Robust Classification with Image Quality Assessment
Towards Robust Classification with Image Quality Assessment
Yeli Feng
Yiyu Cai
100
0
0
14 Apr 2020
Sequence Model Design for Code Completion in the Modern IDE
Sequence Model Design for Code Completion in the Modern IDE
Gareth Ari Aye
Gail E. Kaiser
60
30
0
10 Apr 2020
Improved Residual Networks for Image and Video Recognition
Improved Residual Networks for Image and Video Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
SSegAI4TS
61
173
0
10 Apr 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
181
1,026
0
09 Apr 2020
Risk-Aware High-level Decisions for Automated Driving at Occluded
  Intersections with Reinforcement Learning
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Danial Kamran
Carlos Fernandez Lopez
Martin Lauer
Christoph Stiller
66
65
0
09 Apr 2020
Coronavirus (COVID-19) Classification using Deep Features Fusion and
  Ranking Technique
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique
U. Ozkaya
Ş. Öztürk
Mücahid Barstuğan
OOD
75
152
0
07 Apr 2020
Temporal Pyramid Network for Action Recognition
Temporal Pyramid Network for Action Recognition
Ceyuan Yang
Yinghao Xu
Jianping Shi
Bo Dai
Bolei Zhou
59
376
0
07 Apr 2020
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for
  Robust Segmentation
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation
Qian Yu
Yinghuan Shi
Yefeng Zheng
Yang Gao
Jianbing Zhu
Yakang Dai
MedIm
89
0
0
03 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive
  Strategies
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
David Enthoven
Zaid Al-Ars
FedML
93
51
0
01 Apr 2020
Defect segmentation: Mapping tunnel lining internal defects with ground
  penetrating radar data using a convolutional neural network
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
Senlin Yang
Zhengfang Wang
Jing Wang
Anthony G. Cohn
Jiaqi Zhang
Peng-Tao Jiang
L. Nie
Q. Sui
30
35
0
29 Mar 2020
Strategies for Robust Image Classification
Strategies for Robust Image Classification
Jason Stock
Andy Dolan
Tom Cavey
28
2
0
26 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer
  Learning with Convolutional Neural Networks
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos
Tzani Bessiana
84
1,918
0
25 Mar 2020
Bayesian Sparsification Methods for Deep Complex-valued Networks
Bayesian Sparsification Methods for Deep Complex-valued Networks
Ivan Nazarov
Evgeny Burnaev
BDL
38
0
0
25 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
177
59
0
23 Mar 2020
A deep learning approach for lower back-pain risk prediction during
  manual lifting
A deep learning approach for lower back-pain risk prediction during manual lifting
K. Snyder
Thomas Brennan
Ming-Lun Lu
Rashmi Jha
Menekse S. Barim
Marie Hayden
D. Werren
HAI
29
15
0
20 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
170
109
0
16 Mar 2020
Experimenting with Convolutional Neural Network Architectures for the
  automatic characterization of Solitary Pulmonary Nodules' malignancy rating
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating
Ioannis D. Apostolopoulos
42
3
0
15 Mar 2020
Mass Estimation of Galaxy Clusters with Deep Learning I:
  Sunyaev-Zel'dovich Effect
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect
N. Gupta
C. Reichardt
71
14
0
13 Mar 2020
Top-1 Solution of Multi-Moments in Time Challenge 2019
Top-1 Solution of Multi-Moments in Time Challenge 2019
Manyuan Zhang
Hao Shao
Guanglu Song
Yu Liu
Junjie Yan
40
3
0
12 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu
Hong Zhu
AAML
93
542
0
12 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel
  Attention
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Guoqiang Zhang
Jun Guo
68
25
0
10 Mar 2020
Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for
  False Positive Reduction in Pulmonary Nodule Detection
Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection
Hyunjun Eun
Daeyeong Kim
Chanho Jung
Changick Kim
14
21
0
09 Mar 2020
Weight mechanism: adding a constant in concatenation of series connect
Weight mechanism: adding a constant in concatenation of series connect
Xiaojie Qi
30
0
0
07 Mar 2020
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity Control
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
119
38
0
06 Mar 2020
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity
  Sampling
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling
Kirill Fedyanin
Evgenii Tsymbalov
Maxim Panov
UQCV
41
7
0
06 Mar 2020
Application of Deep Neural Networks to assess corporate Credit Rating
Application of Deep Neural Networks to assess corporate Credit Rating
Parisa Golbayani
Dan Wang
I. Florescu
49
24
0
04 Mar 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Edric Tam
David B. Dunson
55
12
0
02 Mar 2020
The Implicit and Explicit Regularization Effects of Dropout
The Implicit and Explicit Regularization Effects of Dropout
Colin Wei
Sham Kakade
Tengyu Ma
123
118
0
28 Feb 2020
A Multi-Hypothesis Approach to Color Constancy
A Multi-Hypothesis Approach to Color Constancy
D. Juárez
Sarah Parisot
Benjamin Busam
A. Leonardis
Greg Slabaugh
Jingyu Sun
57
43
0
28 Feb 2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN
  Compression
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
R. Lin
Ching-Yun Ko
Zhuolun He
Cong Chen
Yuan Cheng
Hao Yu
G. Chesi
Ngai Wong
75
6
0
28 Feb 2020
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