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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
ArXivPDFHTML

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

50 / 430 papers shown
Title
Prediction intervals for Deep Neural Networks
Prediction intervals for Deep Neural Networks
Tullio Mancini
Hector F. Calvo-Pardo
Jose Olmo
UQCV
OOD
13
4
0
08 Oct 2020
Conditional Image Generation with One-Vs-All Classifier
Conditional Image Generation with One-Vs-All Classifier
Xiangrui Xu
Yaqin Li
Cao Yuan
VLM
GAN
17
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
6
214
0
16 Sep 2020
Orientation Keypoints for 6D Human Pose Estimation
Orientation Keypoints for 6D Human Pose Estimation
Martin Fisch
R. Clark
3DH
11
11
0
10 Sep 2020
Quantum State Tomography with Conditional Generative Adversarial
  Networks
Quantum State Tomography with Conditional Generative Adversarial Networks
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
GAN
3DPC
37
121
0
07 Aug 2020
WeightNet: Revisiting the Design Space of Weight Networks
WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma
X. Zhang
Jiawei Huang
Jian-jun Sun
6
106
0
23 Jul 2020
DEAL: Deep Evidential Active Learning for Image Classification
DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
16
37
0
22 Jul 2020
Modern Hopfield Networks and Attention for Immune Repertoire
  Classification
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich
Bernhard Schafl
Hubert Ramsauer
Milena Pavlović
Lukas Gruber
...
Johannes Brandstetter
G. K. Sandve
Victor Greiff
Sepp Hochreiter
G. Klambauer
179
117
0
16 Jul 2020
A Framework for Neural Network Pruning Using Gibbs Distributions
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach
S. Valaee
9
5
0
08 Jun 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
40
98
0
05 Jun 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
11
80
0
03 May 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
11
4
0
28 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
10
30
0
10 Apr 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
66
998
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
22
152
0
07 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
52
50
0
01 Apr 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
17
1,905
0
25 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
17
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
112
108
0
16 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
18
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
6
20
0
09 Mar 2020
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity Control
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
50
37
0
06 Mar 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-Chia Cheng
Hao Yu
G. Chesi
Ngai Wong
23
6
0
28 Feb 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural
  Networks
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Yehui Tang
Yunhe Wang
Yixing Xu
Boxin Shi
Chao Xu
Chunjing Xu
Chang Xu
6
38
0
23 Feb 2020
No Routing Needed Between Capsules
No Routing Needed Between Capsules
Adam Byerly
T. Kalganova
I. Dear
28
67
0
24 Jan 2020
Audiovisual SlowFast Networks for Video Recognition
Audiovisual SlowFast Networks for Video Recognition
Fanyi Xiao
Yong Jae Lee
Kristen Grauman
Jitendra Malik
Christoph Feichtenhofer
194
205
0
23 Jan 2020
Single headed attention based sequence-to-sequence model for
  state-of-the-art results on Switchboard
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
Zoltán Tüske
G. Saon
Kartik Audhkhasi
Brian Kingsbury
BDL
12
68
0
20 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
20
506
0
23 Dec 2019
Continuous Dropout
Continuous Dropout
Xu Shen
Xinmei Tian
Tongliang Liu
Fang Xu
Dacheng Tao
17
64
0
28 Nov 2019
Hexagonal Image Processing in the Context of Machine Learning:
  Conception of a Biologically Inspired Hexagonal Deep Learning Framework
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
Tobias Schlosser
Michael Friedrich
Danny Kowerko
6
15
0
25 Nov 2019
An Efficient Hardware-Oriented Dropout Algorithm
An Efficient Hardware-Oriented Dropout Algorithm
Y. J. Yeoh
Takashi Morie
H. Tamukoh
13
2
0
14 Nov 2019
Document-level Neural Machine Translation with Associated Memory Network
Document-level Neural Machine Translation with Associated Memory Network
Shu Jiang
Rui Wang
Z. Li
Masao Utiyama
Kehai Chen
Eiichiro Sumita
Hai Zhao
Bao-Liang Lu
13
2
0
31 Oct 2019
Adaptive Sampling for Stochastic Risk-Averse Learning
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi
Kfir Y. Levy
Stefanie Jegelka
Andreas Krause
6
51
0
28 Oct 2019
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
242
269
0
30 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
17
584
0
25 Sep 2019
WEnets: A Convolutional Framework for Evaluating Audio Waveforms
WEnets: A Convolutional Framework for Evaluating Audio Waveforms
Andrew A. Catellier
S. Voran
14
6
0
19 Sep 2019
A superpixel-driven deep learning approach for the analysis of
  dermatological wounds
A superpixel-driven deep learning approach for the analysis of dermatological wounds
G. Blanco
A. J. Traina
C. Traina
P. M. A. Marques
A. E. Jorge
Daniel de Oliveira
M. Bedo
6
43
0
13 Sep 2019
Temporal Collaborative Ranking Via Personalized Transformer
Temporal Collaborative Ranking Via Personalized Transformer
Liwei Wu
Shuqing Li
Cho-Jui Hsieh
James Sharpnack
AI4TS
8
4
0
15 Aug 2019
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
Jiechao Ma
Yingqian Chen
Yu-Chun Chen
Fengkai Wan
Sumin Xue
Ziping Li
S. Feng
MedIm
17
2
0
24 Jul 2019
A Unified Deep Framework for Joint 3D Pose Estimation and Action
  Recognition from a Single RGB Camera
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
H. Pham
H. Salmane
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
13
46
0
16 Jul 2019
Voice Pathology Detection Using Deep Learning: a Preliminary Study
Voice Pathology Detection Using Deep Learning: a Preliminary Study
Pavol Harar
J. B. Alonso
Jirí Mekyska
Z. Galaz
Radim Burget
Z. Smékal
11
96
0
12 Jul 2019
Simple vs complex temporal recurrences for video saliency prediction
Simple vs complex temporal recurrences for video saliency prediction
Panagiotis Linardos
Eva Mohedano
J. Nieto
Noel E. O'Connor
Xavier Giró-i-Nieto
Kevin McGuinness
FAtt
15
86
0
03 Jul 2019
Defending Adversarial Attacks by Correcting logits
Defending Adversarial Attacks by Correcting logits
Yifeng Li
Lingxi Xie
Ya-Qin Zhang
Rui Zhang
Yanfeng Wang
Qi Tian
AAML
13
5
0
26 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation
  Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhiquan Ye
Zhenhua Ling
8
134
0
16 Jun 2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding
  Layers
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu
Shuqing Li
Cho-Jui Hsieh
James Sharpnack
8
31
0
25 May 2019
Orthogonal Deep Neural Networks
Orthogonal Deep Neural Networks
K. Jia
Shuai Li
Yuxin Wen
Tongliang Liu
Dacheng Tao
26
131
0
15 May 2019
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast
  using Collaborative GAN
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
Dongwook Lee
Won-Jin Moon
J. C. Ye
GAN
MedIm
20
8
0
10 May 2019
Advancements in Image Classification using Convolutional Neural Network
Advancements in Image Classification using Convolutional Neural Network
F. Sultana
Abu Sufian
P. Dutta
12
273
0
08 May 2019
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep
  Neural Networks
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
Yichen Zhang
Shanshan Jia
Yajing Zheng
Zhaofei Yu
Yonghong Tian
Siwei Ma
Tiejun Huang
Jian K. Liu
11
42
0
30 Apr 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing
  Regularizers
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers
K. Jia
Jiehong Lin
Mingkui Tan
Dacheng Tao
3DV
17
32
0
25 Apr 2019
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