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
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
101
16
0
09 Aug 2016
Horn: A System for Parallel Training and Regularizing of Large-Scale
  Neural Networks
Horn: A System for Parallel Training and Regularizing of Large-Scale Neural Networks
Edward J. Yoon
28
0
0
02 Aug 2016
SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval
SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval
Jian Zhang
Yuxin Peng
74
129
0
28 Jul 2016
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of
  Neurons
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
Lingxi Xie
Qi Tian
John Flynn
Jingdong Wang
Alan Yuille
56
11
0
21 Jul 2016
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain
  Factoid Question Answering
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
Peng Li
Wei Li
Zhen He
Xuguang Wang
Ying Cao
Jie Zhou
Wenyuan Xu
97
96
0
21 Jul 2016
Recycle deep features for better object detection
Recycle deep features for better object detection
Wei Li
Matthias Breier
Dorit Merhof
ObjD
41
4
0
18 Jul 2016
Hierarchical learning for DNN-based acoustic scene classification
Hierarchical learning for DNN-based acoustic scene classification
Yong-mei Xu
Qiang Huang
Wenwu Wang
Mark D. Plumbley
91
28
0
13 Jul 2016
Unsupervised Feature Learning Based on Deep Models for Environmental
  Audio Tagging
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
Yong-mei Xu
Qiang Huang
Wenwu Wang
Peter Foster
Siddharth Sigtia
Philip J. B. Jackson
Mark D. Plumbley
80
79
0
13 Jul 2016
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Yu Zhong
G. Ettinger
48
25
0
08 Jul 2016
Watch This: Scalable Cost-Function Learning for Path Planning in Urban
  Environments
Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments
Markus Wulfmeier
Dominic Zeng Wang
Ingmar Posner
85
114
0
08 Jul 2016
A Distributed Deep Representation Learning Model for Big Image Data
  Classification
A Distributed Deep Representation Learning Model for Big Image Data Classification
Le Dong
Na Lv
Qianni Zhang
Shanshan Xie
Ling He
Mengdie Mao
31
0
0
02 Jul 2016
Less-forgetting Learning in Deep Neural Networks
Less-forgetting Learning in Deep Neural Networks
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
116
229
0
01 Jul 2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional
  Neural Networks
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
Felix Grün
Christian Rupprecht
Nassir Navab
Federico Tombari
SSLFAtt
66
76
0
24 Jun 2016
Fully DNN-based Multi-label regression for audio tagging
Fully DNN-based Multi-label regression for audio tagging
Yong-mei Xu
Qiang Huang
Wenwu Wang
Philip J. B. Jackson
Mark D. Plumbley
73
11
0
24 Jun 2016
DropNeuron: Simplifying the Structure of Deep Neural Networks
DropNeuron: Simplifying the Structure of Deep Neural Networks
W. Pan
Hao Dong
Yike Guo
72
146
0
23 Jun 2016
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic
  Modeling in Speech Recognition
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
Albert Zeyer
P. Doetsch
P. Voigtlaender
Ralf Schluter
Hermann Ney
78
169
0
22 Jun 2016
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
James Cross
Liang Huang
96
87
0
21 Jun 2016
A New Training Method for Feedforward Neural Networks Based on Geometric
  Contraction Property of Activation Functions
A New Training Method for Feedforward Neural Networks Based on Geometric Contraction Property of Activation Functions
Petre Birtea
C. Cernăzanu-Glăvan
Alexandru Sisu
16
0
0
20 Jun 2016
Learning Convolutional Neural Networks using Hybrid Orthogonal
  Projection and Estimation
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation
H. Pan
Hui Jiang
3DV
79
13
0
20 Jun 2016
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using
  Character and Word-Level CNNs
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs
Prashanth Vijayaraghavan
Ivan Sysoev
Soroush Vosoughi
D. Roy
74
71
0
17 Jun 2016
DecomposeMe: Simplifying ConvNets for End-to-End Learning
DecomposeMe: Simplifying ConvNets for End-to-End Learning
J. Álvarez
L. Petersson
78
48
0
17 Jun 2016
Regularization With Stochastic Transformations and Perturbations for
  Deep Semi-Supervised Learning
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi S. M. Sajjadi
Mehran Javanmardi
Tolga Tasdizen
BDL
187
1,120
0
14 Jun 2016
Deep Recurrent Models with Fast-Forward Connections for Neural Machine
  Translation
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation
Jie Zhou
Ying Cao
Xuguang Wang
Peng Li
Wenyuan Xu
AIMat
92
217
0
14 Jun 2016
Learning to Generate Compositional Color Descriptions
Learning to Generate Compositional Color Descriptions
Will Monroe
Noah D. Goodman
Christopher Potts
GAN
68
23
0
13 Jun 2016
Data Recombination for Neural Semantic Parsing
Data Recombination for Neural Semantic Parsing
Robin Jia
Percy Liang
105
466
0
11 Jun 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan
Ross B. Girshick
VLM
132
49
0
09 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning
Structured Convolution Matrices for Energy-efficient Deep learning
R. Appuswamy
T. Nayak
John V. Arthur
S. K. Esser
P. Merolla
J. McKinstry
T. Melano
M. Flickner
D. Modha
55
11
0
08 Jun 2016
Selective Unsupervised Feature Learning with Convolutional Neural
  Network (S-CNN)
Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN)
Amir Ghaderi
V. Athitsos
SSLOOD
26
19
0
07 Jun 2016
Memory-enhanced Decoder for Neural Machine Translation
Memory-enhanced Decoder for Neural Machine Translation
Mingxuan Wang
Zhengdong Lu
Hang Li
Qun Liu
82
65
0
07 Jun 2016
Multimodal Residual Learning for Visual QA
Multimodal Residual Learning for Visual QA
Jin-Hwa Kim
Sang-Woo Lee
Donghyun Kwak
Min-Oh Heo
Jeonghee Kim
Jung-Woo Ha
Byoung-Tak Zhang
73
302
0
05 Jun 2016
Neural Architectures for Fine-grained Entity Type Classification
Neural Architectures for Fine-grained Entity Type Classification
Sonse Shimaoka
Pontus Stenetorp
Kentaro Inui
Sebastian Riedel
80
119
0
04 Jun 2016
Improving Coreference Resolution by Learning Entity-Level Distributed
  Representations
Improving Coreference Resolution by Learning Entity-Level Distributed Representations
Kevin Clark
Christopher D. Manning
115
337
0
04 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David M. Krueger
Tegan Maharaj
János Kramár
Mohammad Pezeshki
Nicolas Ballas
Nan Rosemary Ke
Anirudh Goyal
Yoshua Bengio
Aaron Courville
C. Pal
115
318
0
03 Jun 2016
Conversational Contextual Cues: The Case of Personalization and History
  for Response Ranking
Conversational Contextual Cues: The Case of Personalization and History for Response Ranking
Rami Al-Rfou
Marc Pickett
J. Snaider
Yun-hsuan Sung
B. Strope
R. Kurzweil
HAI
80
92
0
01 Jun 2016
CYCLADES: Conflict-free Asynchronous Machine Learning
CYCLADES: Conflict-free Asynchronous Machine Learning
Yang Zhang
Maximilian Lam
Stephen Tu
Dimitris Papailiopoulos
Ce Zhang
Michael I. Jordan
M. Shah
Christopher Ré
Benjamin Recht
58
63
0
31 May 2016
Spectral Methods for Correlated Topic Models
Spectral Methods for Correlated Topic Models
Forough Arabshahi
Anima Anandkumar
OOD
61
5
0
30 May 2016
Robust Downbeat Tracking Using an Ensemble of Convolutional Networks
Robust Downbeat Tracking Using an Ensemble of Convolutional Networks
Simon Durand
J. P. Bello
B. David
G. Richard
63
7
0
26 May 2016
No bad local minima: Data independent training error guarantees for
  multilayer neural networks
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry
Y. Carmon
214
235
0
26 May 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
178
941
0
24 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
Learning shape correspondence with anisotropic convolutional neural
  networks
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
3DPC
224
511
0
20 May 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit
Michael J. Wilber
Serge J. Belongie
UQCV
91
107
0
20 May 2016
Matching Handwritten Document Images
Matching Handwritten Document Images
Praveen Krishnan
C. V. Jawahar
51
56
0
19 May 2016
Movie Description
Movie Description
Anna Rohrbach
Atousa Torabi
Marcus Rohrbach
Niket Tandon
C. Pal
Hugo Larochelle
Aaron Courville
Bernt Schiele
3DVVGen
88
361
0
12 May 2016
Speech Enhancement In Multiple-Noise Conditions using Deep Neural
  Networks
Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks
Anurag Kumar
D. Florêncio
71
123
0
09 May 2016
Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
Christopher E. Moody
41
190
0
06 May 2016
Some Insights into the Geometry and Training of Neural Networks
Some Insights into the Geometry and Training of Neural Networks
E. Berg
3DH
47
7
0
02 May 2016
DisturbLabel: Regularizing CNN on the Loss Layer
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie
Jingdong Wang
Zhen Wei
Meng Wang
Qi Tian
136
252
0
30 Apr 2016
InterActive: Inter-Layer Activeness Propagation
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie
Liang Zheng
Jingdong Wang
Alan Yuille
Qi Tian
FAtt
84
45
0
30 Apr 2016
Learning Deep Feature Representations with Domain Guided Dropout for
  Person Re-identification
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
OOD
81
977
0
26 Apr 2016
Previous
123...262728...333435
Next