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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
Deep Data Flow Analysis
Deep Data Flow Analysis
Chris Cummins
Hugh Leather
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Michael F. P. O'Boyle
56
4
0
21 Nov 2020
Convergence Analysis of Homotopy-SGD for non-convex optimization
Convergence Analysis of Homotopy-SGD for non-convex optimization
Matilde Gargiani
Andrea Zanelli
Quoc Tran-Dinh
Moritz Diehl
Frank Hutter
52
3
0
20 Nov 2020
Cascade Attentive Dropout for Weakly Supervised Object Detection
Cascade Attentive Dropout for Weakly Supervised Object Detection
Wenlong Gao
Ying-Cong Chen
Yong Peng
WSOD
72
2
0
20 Nov 2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual
  Classification
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
Weitao Wan
Jiansheng Chen
Cheng Yu
Tong Wu
Yuanyi Zhong
Ming-Hsuan Yang
36
7
0
18 Nov 2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for
  Uncertainty Inference
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
Jiyang Xie
Zhanyu Ma
Jing-Hao Xue
Guoqiang Zhang
Jun Guo
BDL
46
11
0
17 Nov 2020
Gradient Episodic Memory with a Soft Constraint for Continual Learning
Gradient Episodic Memory with a Soft Constraint for Continual Learning
Guannan Hu
Wu Zhang
Hu Ding
Wenhao Zhu
CLL
60
11
0
16 Nov 2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Lijing Wang
Dipanjan Ghosh
Maria Teresa Gonzalez Diaz
Ahmed K. Farahat
M. Alam
Chetan Gupta
Jiangzhuo Chen
Madhav Marathe
43
10
0
13 Nov 2020
A Deep Learning Approach to Predict Hamburg Rutting Curve
A Deep Learning Approach to Predict Hamburg Rutting Curve
H. Majidifard
Behnam Jahangiri
Punyaslok Rath
A. Alavi
W. Buttlar
17
24
0
12 Nov 2020
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and
  Efficient Spatiotemporal Information Processing
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Zhenzhi Wu
Hehui Zhang
Yihan Lin
Guoqi Li
Meng Wang
Ye Tang
AI4TS
72
109
0
12 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial
  Intelligence: A Review and Perspective
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective
Bao-Gang Hu
Hanbing Qu
AI4CE
105
1
0
12 Nov 2020
FAT: Training Neural Networks for Reliable Inference Under Hardware
  Faults
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults
Ussama Zahid
Giulio Gambardella
Nicholas J. Fraser
Michaela Blott
K. Vissers
49
45
0
11 Nov 2020
Text Classification through Glyph-aware Disentangled Character Embedding
  and Semantic Sub-character Augmentation
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation
Takumi Aoki
Shunsuke Kitada
Hitoshi Iyatomi
55
2
0
09 Nov 2020
Two-Stream Appearance Transfer Network for Person Image Generation
Two-Stream Appearance Transfer Network for Person Image Generation
Chengkang Shen
Peiyan Wang
Wei Tang
3DHGAN
59
0
0
09 Nov 2020
Rethinking the Value of Transformer Components
Rethinking the Value of Transformer Components
Wenxuan Wang
Zhaopeng Tu
84
40
0
07 Nov 2020
A Greedy Algorithm for Quantizing Neural Networks
A Greedy Algorithm for Quantizing Neural Networks
Eric Lybrand
Rayan Saab
MQ
78
27
0
29 Oct 2020
The Volctrans Machine Translation System for WMT20
The Volctrans Machine Translation System for WMT20
Liwei Wu
Xiao Pan
Zehui Lin
Yaoming Zhu
Mingxuan Wang
Lei Li
VLM
52
17
0
28 Oct 2020
It's All in the Name: A Character Based Approach To Infer Religion
It's All in the Name: A Character Based Approach To Infer Religion
Rochana Chaturvedi
Sugat Chaturvedi
65
23
0
27 Oct 2020
On Convergence and Generalization of Dropout Training
On Convergence and Generalization of Dropout Training
Poorya Mianjy
R. Arora
130
30
0
23 Oct 2020
Population Gradients improve performance across data-sets and
  architectures in object classification
Population Gradients improve performance across data-sets and architectures in object classification
Yurika Sakai
Andrey Kormilitzin
Qiang Liu
A. Nevado-Holgado
ODL
6
0
0
23 Oct 2020
Attention Transfer Network for Aspect-level Sentiment Classification
Attention Transfer Network for Aspect-level Sentiment Classification
Fei Zhao
Zhanghua Wu
Xinyu Dai
56
19
0
23 Oct 2020
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
Feiliang Ren
Jucheng Li
Huihui Zhang
Shilei Liu
Bochao Li
Ruicheng Ming
Yujia Bai
106
36
0
23 Oct 2020
Token Drop mechanism for Neural Machine Translation
Token Drop mechanism for Neural Machine Translation
Huaao Zhang
Shigui Qiu
Xiangyu Duan
Min Zhang
56
14
0
21 Oct 2020
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Bowen Wang
Liangzhi Li
Yuta Nakashima
R. Kawasaki
Hajime Nagahara
Y. Yagi
78
25
0
19 Oct 2020
Generating Diverse Translation from Model Distribution with Dropout
Generating Diverse Translation from Model Distribution with Dropout
Xuanfu Wu
Yang Feng
Chenze Shao
38
13
0
16 Oct 2020
Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural
  Network
Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network
Ankur Verma
21
6
0
14 Oct 2020
Modurec: Recommender Systems with Feature and Time Modulation
Modurec: Recommender Systems with Feature and Time Modulation
Javier Maroto
Clément Vignac
P. Frossard
58
1
0
13 Oct 2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Jiyang Xie
Zhanyu Ma
and Jianjun Lei
Guoqiang Zhang
Jing-Hao Xue
Zheng-Hua Tan
Jun Guo
BDL
26
46
0
11 Oct 2020
Prediction intervals for Deep Neural Networks
Prediction intervals for Deep Neural Networks
Tullio Mancini
Hector F. Calvo-Pardo
Jose Olmo
UQCVOOD
68
4
0
08 Oct 2020
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty
  Estimation
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
Omer Achrack
Raizy Kellerman
Ouriel Barzilay
UQCVBDL
74
9
0
05 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented
  Dialog Systems
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLLKELM
57
71
0
02 Oct 2020
Dual Attention Model for Citation Recommendation
Dual Attention Model for Citation Recommendation
Yang Zhang
Qiang Ma
28
14
0
01 Oct 2020
End-to-End Spoken Language Understanding Without Full Transcripts
End-to-End Spoken Language Understanding Without Full Transcripts
H. Kuo
Zoltán Tüske
Samuel Thomas
Yinghui Huang
Kartik Audhkhasi
Brian Kingsbury
Gakuto Kurata
Zvi Kons
R. Hoory
Luis A. Lastras
AuLLM
88
26
0
30 Sep 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery
CASTLE: Regularization via Auxiliary Causal Graph Discovery
Trent Kyono
Yao Zhang
M. Schaar
OODCML
81
69
0
28 Sep 2020
Quantal synaptic dilution enhances sparse encoding and dropout
  regularisation in deep networks
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks
Gardave S. Bhumbra
33
0
0
28 Sep 2020
Abusive Language Detection and Characterization of Twitter Behavior
Abusive Language Detection and Characterization of Twitter Behavior
Dincy Davis
Reena Murali
R. Babu
23
3
0
26 Sep 2020
Interpreting and Boosting Dropout from a Game-Theoretic View
Interpreting and Boosting Dropout from a Game-Theoretic View
Hao Zhang
Sen Li
Yinchao Ma
Mingjie Li
Yichen Xie
Quanshi Zhang
FAttAI4CE
92
48
0
24 Sep 2020
Role of Orthogonality Constraints in Improving Properties of Deep
  Networks for Image Classification
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
Hongjun Choi
Anirudh Som
Pavan Turaga
54
8
0
22 Sep 2020
"When they say weed causes depression, but it's your fav
  antidepressant": Knowledge-aware Attention Framework for Relationship
  Extraction
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction
S. Yadav
Usha Lokala
Raminta Daniulaityte
K. Thirunarayan
Francois R. Lamy
A. Sheth
36
17
0
21 Sep 2020
Conditional Image Generation with One-Vs-All Classifier
Conditional Image Generation with One-Vs-All Classifier
Xiangrui Xu
Yaqin Li
Cao Yuan
VLMGAN
42
12
0
18 Sep 2020
Pooling Methods in Deep Neural Networks, a Review
Pooling Methods in Deep Neural Networks, a Review
Hossein Gholamalinezhad
H. Khosravi
213
229
0
16 Sep 2020
Fused Deep Convolutional Neural Network for Precision Diagnosis of
  COVID-19 Using Chest X-Ray Images
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images
Hussin K. Ragb
Ian T. Dover
Reda Almahdi Ali Ali
19
4
0
15 Sep 2020
Machine Learning's Dropout Training is Distributionally Robust Optimal
Machine Learning's Dropout Training is Distributionally Robust Optimal
Jose H. Blanchet
Yang Kang
J. M. Olea
Viet Anh Nguyen
Xuhui Zhang
OOD
17
9
0
13 Sep 2020
Orientation Keypoints for 6D Human Pose Estimation
Orientation Keypoints for 6D Human Pose Estimation
Martin Fisch
R. Clark
3DH
75
11
0
10 Sep 2020
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature
  Engineering Framework
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework
Pei Fang
Zhendong Cai
Hui Chen
Qingjiang Shi
48
5
0
05 Sep 2020
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of
  claims using transformer-based models
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models
Evan Williams
Paul Rodrigues
Valerie Novak
102
42
0
05 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights
LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
45
7
0
04 Sep 2020
Deep Learning Optimized Sparse Antenna Activation for Reconfigurable
  Intelligent Surface Assisted Communication
Deep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication
Shun Zhang
Shun Zhang
Fei Gao
Jianpeng Ma
O. Dobre
31
88
0
03 Sep 2020
Bridging the Gap: Unifying the Training and Evaluation of Neural Network
  Binary Classifiers
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers
Deyuan Li
Kate Candon
Taesoo Daniel Lee
Yofti Milkessa
Nathan Tsoi
AAML
28
3
0
02 Sep 2020
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
Alessio Sarullo
Tingting Mu
12
4
0
02 Sep 2020
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
138
1,160
0
30 Aug 2020
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