ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1207.0580
  4. Cited By
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
An Improved Deep Belief Network Model for Road Safety Analyses
An Improved Deep Belief Network Model for Road Safety Analyses
Guangyuan Pan
L. Fu
Lalita Thakali
Matthew Muresan
Ming Yu
14
4
0
17 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language
A Tutorial on Deep Latent Variable Models of Natural Language
Yoon Kim
Sam Wiseman
Alexander M. Rush
BDLVLM
121
42
0
17 Dec 2018
Dynamic Graph Modules for Modeling Object-Object Interactions in
  Activity Recognition
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition
Hao Huang
Luowei Zhou
Wei Zhang
Jason J. Corso
Chenliang Xu
59
3
0
13 Dec 2018
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
201
3,299
0
10 Dec 2018
Guided Dropout
Guided Dropout
Rohit Keshari
Richa Singh
Mayank Vatsa
BDL
129
37
0
10 Dec 2018
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
87
6
0
06 Dec 2018
Stochastic Model Pruning via Weight Dropping Away and Back
Stochastic Model Pruning via Weight Dropping Away and Back
Haipeng Jia
Xueshuang Xiang
Da Fan
Meiyu Huang
Changhao Sun
Yang He
36
2
0
05 Dec 2018
Prototype-based Neural Network Layers: Incorporating Vector Quantization
Prototype-based Neural Network Layers: Incorporating Vector Quantization
S. Saralajew
Lars Holdijk
Maike Rees
T. Villmann
MQ
61
15
0
04 Dec 2018
Pre-Defined Sparse Neural Networks with Hardware Acceleration
Pre-Defined Sparse Neural Networks with Hardware Acceleration
Sourya Dey
Kuan-Wen Huang
Peter A. Beerel
K. Chugg
109
25
0
04 Dec 2018
Accelerate CNN via Recursive Bayesian Pruning
Accelerate CNN via Recursive Bayesian Pruning
Yuefu Zhou
Ya Zhang
Yanfeng Wang
Qi Tian
BDL
70
58
0
02 Dec 2018
A Deep Latent-Variable Model Application to Select Treatment Intensity
  in Survival Analysis
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
Cédric Beaulac
Jeffrey S. Rosenthal
D. Hodgson
BDLDRLCML
31
2
0
29 Nov 2018
Lagged correlation-based deep learning for directional trend change
  prediction in financial time series
Lagged correlation-based deep learning for directional trend change prediction in financial time series
Ben Moews
J. Herrmann
Seda F. Gürses
AIFin
71
97
0
27 Nov 2018
Deep Bayesian Self-Training
Deep Bayesian Self-Training
Fabio De Sousa Ribeiro
Francesco Calivá
M. Swainson
Kjartan Gudmundsson
Georgios Leontidis
Stefanos D. Kollias
UQCV
40
1
0
26 Nov 2018
Deep RNN Framework for Visual Sequential Applications
Deep RNN Framework for Visual Sequential Applications
Bo Pang
Kaiwen Zha
Hanwen Cao
Chen Shi
Cewu Lu
ViTHAI
128
49
0
25 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi
Takashi Matsubara
K. Uehara
102
331
0
22 Nov 2018
Learning cross-lingual phonological and orthagraphic adaptations: a case
  study in improving neural machine translation between low-resource languages
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages
Saurav Jha
A. Sudhakar
Anil Kumar Singh
43
4
0
21 Nov 2018
Structured Pruning for Efficient ConvNets via Incremental Regularization
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang
Qiming Zhang
Yuehai Wang
Haoji Hu
3DPC
105
45
0
20 Nov 2018
Variational Bayesian Dropout with a Hierarchical Prior
Variational Bayesian Dropout with a Hierarchical Prior
Yuhang Liu
Wenyong Dong
Lei Zhang
Dong Gong
Javen Qinfeng Shi
BDL
52
18
0
19 Nov 2018
Skeleton-based Gesture Recognition Using Several Fully Connected Layers
  with Path Signature Features and Temporal Transformer Module
Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module
Chenyang Li
Xin Zhang
Lufan Liao
Lianwen Jin
Weixin Yang
SLR
80
43
0
17 Nov 2018
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving
  Control
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control
Rhiannon Michelmore
Marta Kwiatkowska
Y. Gal
UQCV
79
103
0
16 Nov 2018
Enhancing Operation of a Sewage Pumping Station for Inter Catchment
  Wastewater Transfer by Using Deep Learning and Hydraulic Model
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model
Duo Zhang
Erlend Skullestad Holland
G. Lindholm
H. Ratnaweera
21
5
0
09 Nov 2018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
BDLUQCV
128
35
0
08 Nov 2018
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Frank Soboczenski
Michael D. Himes
Molly D. O'Beirne
Simone Zorzan
A. G. Baydin
...
Stefanie Rinderle-Ma
Daniel Angerhausen
Massimo Mascaro
Giada N. Arney
S. Domagal‐Goldman
BDL
71
14
0
08 Nov 2018
Deep Probabilistic Ensembles: Approximate Variational Inference through
  KL Regularization
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization
Matthew Maciejewski
J. Álvarez
Adam Lesnikowski
BDLUQCV
55
3
0
06 Nov 2018
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
51
11
0
04 Nov 2018
Analysing Dropout and Compounding Errors in Neural Language Models
Analysing Dropout and Compounding Errors in Neural Language Models
James OÑeill
Danushka Bollegala
30
1
0
02 Nov 2018
Single-Model Uncertainties for Deep Learning
Single-Model Uncertainties for Deep Learning
Natasa Tagasovska
David Lopez-Paz
UQCVBDL
337
25
0
02 Nov 2018
Improving the Robustness of Speech Translation
Improving the Robustness of Speech Translation
Xiang-Yang Li
Haiyang Xue
Wei Chen
Yang Liu
Yang Feng
Qun Liu
33
17
0
02 Nov 2018
Towards Linear Time Neural Machine Translation with Capsule Networks
Towards Linear Time Neural Machine Translation with Capsule Networks
Mingxuan Wang
Jun Xie
Zhixing Tan
Jinsong Su
Deyi Xiong
Lei Li
AIMat
103
27
0
01 Nov 2018
Effective Feature Representation for Clinical Text Concept Extraction
Effective Feature Representation for Clinical Text Concept Extraction
Yifeng Tao
B. Godefroy
Guillaume Genthial
Christopher Potts
69
8
0
31 Oct 2018
SplineNets: Continuous Neural Decision Graphs
SplineNets: Continuous Neural Decision Graphs
Cem Keskin
Shahram Izadi
49
11
0
31 Oct 2018
DeepGRU: Deep Gesture Recognition Utility
DeepGRU: Deep Gesture Recognition Utility
M. Maghoumi
J. Laviola
SLRHAI
397
77
0
30 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning
Marginal Replay vs Conditional Replay for Continual Learning
Timothée Lesort
A. Gepperth
Andrei Stoian
David Filliat
BDL
100
35
0
29 Oct 2018
DeepSymmetry : Using 3D convolutional networks for identification of
  tandem repeats and internal symmetries in protein structures
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures
Guillaume Pagès
Sergei Grudinin
104
8
0
29 Oct 2018
Learning Negotiating Behavior Between Cars in Intersections using Deep
  Q-Learning
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
Tommy Tram
A. Jansson
Robin Grönberg
Mohammad Ali
J. Sjöberg
61
51
0
24 Oct 2018
Compositional Coding Capsule Network with K-Means Routing for Text
  Classification
Compositional Coding Capsule Network with K-Means Routing for Text Classification
Hao Ren
Hong-wei Lu
104
53
0
22 Oct 2018
CNNPred: CNN-based stock market prediction using several data sources
CNNPred: CNN-based stock market prediction using several data sources
Ehsan Hoseinzade
Saman Haratizadeh
AIFin
31
29
0
21 Oct 2018
Automated identification of hookahs (waterpipes) on Instagram: an
  application in feature extraction using Convolutional Neural Network and
  Support Vector Machine classification
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification
Youshan Zhang
Jon-Patrick Allem
J. Unger
T. Cruz
58
30
0
21 Oct 2018
Adversarial TableQA: Attention Supervision for Question Answering on
  Tables
Adversarial TableQA: Attention Supervision for Question Answering on Tables
Minseok Cho
Reinald Kim Amplayo
Seung-won Hwang
Jonghyuck Park
LMTDOOD
67
22
0
18 Oct 2018
An ETF view of Dropout regularization
An ETF view of Dropout regularization
Dor Bank
Raja Giryes
104
4
0
14 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
PINNAI4CE
75
58
0
11 Oct 2018
Listening for Sirens: Locating and Classifying Acoustic Alarms in City
  Scenes
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
Letizia Marchegiani
Paul Newman
57
37
0
11 Oct 2018
Dropout as a Structured Shrinkage Prior
Dropout as a Structured Shrinkage Prior
Eric T. Nalisnick
José Miguel Hernández-Lobato
Padhraic Smyth
BDLUQCV
33
1
0
09 Oct 2018
Convolutional Neural Networks In Convolution
Convolutional Neural Networks In Convolution
X. Huang
24
3
0
09 Oct 2018
End-to-End Text Classification via Image-based Embedding using
  Character-level Networks
End-to-End Text Classification via Image-based Embedding using Character-level Networks
Shunsuke Kitada
Ryunosuke Kotani
Hitoshi Iyatomi
45
4
0
08 Oct 2018
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for
  DenseNets
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Mingjie Wang
Jun Zhou
Wendong Mao
Minglun Gong
36
9
0
02 Oct 2018
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized
  Dropout
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
Kun Wan
Boyuan Feng
Lingwei Xie
Yufei Ding
58
11
0
28 Sep 2018
Incorporating Luminance, Depth and Color Information by a Fusion-based
  Network for Semantic Segmentation
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic Segmentation
Shang-Wei Hung
Shao-Yuan Lo
Hsueh-Ming Hang
31
0
0
24 Sep 2018
A Byte-sized Approach to Named Entity Recognition
A Byte-sized Approach to Named Entity Recognition
Emily Sheng
Premkumar Natarajan
27
0
0
22 Sep 2018
Galaxy morphology prediction using capsule networks
Galaxy morphology prediction using capsule networks
R. Katebi
Yadi Zhou
R. Chornock
Razvan Bunescu
MedIm3DPC
28
17
0
22 Sep 2018
Previous
123...181920...333435
Next