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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
MHAttnSurv: Multi-Head Attention for Survival Prediction Using
  Whole-Slide Pathology Images
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
Shuai Jiang
A. Suriawinata
Saeed Hassanpour
51
30
0
22 Oct 2021
Self-Supervision and Spatial-Sequential Attention Based Loss for
  Multi-Person Pose Estimation
Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation
Haiyang Liu
Dingli Luo
Songlin Du
T. Ikenaga
3DH
67
0
0
20 Oct 2021
Multi-concept adversarial attacks
Multi-concept adversarial attacks
Vibha Belavadi
Yan Zhou
Murat Kantarcioglu
B. Thuraisingham
AAML
83
0
0
19 Oct 2021
Object-Region Video Transformers
Object-Region Video Transformers
Roei Herzig
Elad Ben-Avraham
K. Mangalam
Amir Bar
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
95
84
0
13 Oct 2021
TAda! Temporally-Adaptive Convolutions for Video Understanding
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang
Shiwei Zhang
Liang Pan
Zhiwu Qing
Mingqian Tang
Ziwei Liu
M. Ang
140
49
0
12 Oct 2021
Disturbing Target Values for Neural Network Regularization
Disturbing Target Values for Neural Network Regularization
Yongho Kim
Hanna Lukashonak
Paweena Tarepakdee
Klavdia Zavalich
Mofassir ul Islam Arif
31
0
0
11 Oct 2021
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
Zhengyan Zhang
Yankai Lin
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
MoE
102
129
0
05 Oct 2021
Evaluating Deep Learning Models and Adversarial Attacks on
  Accelerometer-Based Gesture Authentication
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
Elliu Huang
Fabio Di Troia
Mark Stamp
AAML
23
5
0
03 Oct 2021
Optimizing Neural Network for Computer Vision task in Edge Device
Optimizing Neural Network for Computer Vision task in Edge Device
S. RanjithM
S. Parameshwara
A. PavanYadav
Shriganesh Hegde
35
1
0
02 Oct 2021
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
206
79
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
142
45
0
01 Oct 2021
Turning old models fashion again: Recycling classical CNN networks using
  the Lattice Transformation
Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation
Ana Paula G. S. de Almeida
Flávio de Barros Vidal
27
0
0
28 Sep 2021
Active Learning for Argument Mining: A Practical Approach
Active Learning for Argument Mining: A Practical Approach
Nikolai Solmsdorf
Dietrich Trautmann
Hinrich Schütze
HAI
30
1
0
28 Sep 2021
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis
  in Persian Reviews
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews
Milad Vazan
J. Razmara
62
12
0
16 Sep 2021
Patch-based Medical Image Segmentation using Matrix Product State Tensor
  Networks
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks
Raghavendra Selvan
Erik Dam
Soren Alexander Flensborg
Jens Petersen
MedIm
98
2
0
15 Sep 2021
A framework for benchmarking uncertainty in deep regression
A framework for benchmarking uncertainty in deep regression
F. Schmähling
Jörg Martin
Clemens Elster
UQCV
60
8
0
10 Sep 2021
FR-Detect: A Multi-Modal Framework for Early Fake News Detection on
  Social Media Using Publishers Features
FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features
A. Jarrahi
Leila Safari
EgoV
47
0
0
10 Sep 2021
Towards Transferable Adversarial Attacks on Vision Transformers
Towards Transferable Adversarial Attacks on Vision Transformers
Zhipeng Wei
Jingjing Chen
Micah Goldblum
Zuxuan Wu
Tom Goldstein
Yu-Gang Jiang
ViTAAML
100
124
0
09 Sep 2021
Training Deep Networks from Zero to Hero: avoiding pitfalls and going
  beyond
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond
M. Ponti
Fernando Pereira dos Santos
Leo Sampaio Ferraz Ribeiro
G. B. Cavallari
56
16
0
06 Sep 2021
Learning 3D Mineral Prospectivity from 3D Geological Models Using
  Convolutional Neural Networks: Application to a Structure-controlled
  Hydrothermal Gold Deposit
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
Hao Deng
Yang Zheng
Jin Chen
Shuyang Yu
K. Xiao
Xiancheng Mao
24
45
0
02 Sep 2021
Learning Energy-Based Approximate Inference Networks for Structured
  Applications in NLP
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Lifu Tu
BDL
57
0
0
27 Aug 2021
The Surprising Effectiveness of Visual Odometry Techniques for Embodied
  PointGoal Navigation
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
Xiaoming Zhao
Harsh Agrawal
Dhruv Batra
Alex Schwing
103
42
0
26 Aug 2021
Out-of-Distribution Example Detection in Deep Neural Networks using
  Distance to Modelled Embedding
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding
Rickard Sjögren
J. Trygg
OODD
20
1
0
24 Aug 2021
ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft
  Pose Estimation
ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation
Duarte Rondao
Nabil Aouf
M.A. Richardson
3DPC
80
13
0
23 Aug 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph
  Convolutional Networks
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
Feng Sun
Ajith Kumar
Guanci Yang
Qikui Zhu
Yiyun Zhang
Ansi Zhang
Dhruv Makwana
SSLGNN
112
0
0
17 Aug 2021
Investigating the Relationship Between Dropout Regularization and Model
  Complexity in Neural Networks
Investigating the Relationship Between Dropout Regularization and Model Complexity in Neural Networks
Christopher Sun
J. Sharma
Milind Maiti
17
4
0
14 Aug 2021
Relation-aware Compositional Zero-shot Learning for Attribute-Object
  Pair Recognition
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
Ziwei Xu
Guangzhi Wang
Yongkang Wong
Mohan S. Kankanhalli
81
27
0
10 Aug 2021
Leveraging Uncertainty for Improved Static Malware Detection Under
  Extreme False Positive Constraints
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints
A. Nguyen
Edward Raff
Charles K. Nicholas
James Holt
103
22
0
09 Aug 2021
Rapid Elastic Architecture Search under Specialized Classes and Resource
  Constraints
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints
Jing Liu
Bohan Zhuang
Mingkui Tan
Xu Liu
Dinh Q. Phung
Yuanqing Li
Jianfei Cai
57
0
0
03 Aug 2021
Towards Controlled and Diverse Generation of Article Comments
Towards Controlled and Diverse Generation of Article Comments
Linhao Zhang
Houfeng Wang
22
1
0
25 Jul 2021
Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State
  Tracking
Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking
Linhao Zhang
Houfeng Wang
55
0
0
25 Jul 2021
A Joint and Domain-Adaptive Approach to Spoken Language Understanding
A Joint and Domain-Adaptive Approach to Spoken Language Understanding
Linhao Zhang
Yu Shi
Linjun Shou
Ming Gong
Houfeng Wang
Michael Zeng
VLM
78
2
0
25 Jul 2021
Selective Pseudo-label Clustering
Selective Pseudo-label Clustering
Louis Mahon
Thomas Lukasiewicz
57
15
0
22 Jul 2021
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal
  Learning with Robustness to Out-of-Distribution Data
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data
Viswanath P. Sudarshan
Uddeshya Upadhyay
Gary F. Egan
Zhaolin Chen
Suyash P. Awate
OODMedIm
78
40
0
21 Jul 2021
QVHighlights: Detecting Moments and Highlights in Videos via Natural
  Language Queries
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries
Jie Lei
Tamara L. Berg
Joey Tianyi Zhou
ViT
73
67
0
20 Jul 2021
Solving inverse problems with deep neural networks driven by sparse
  signal decomposition in a physics-based dictionary
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary
Gaëtan Rensonnet
Louise Adam
Benoit Macq
MedIm
62
6
0
16 Jul 2021
Semi-supervised Learning for Marked Temporal Point Processes
Semi-supervised Learning for Marked Temporal Point Processes
Shivshankar Reddy
A. Chauhan
Maneet Singh
Karamjit Singh
AI4TS
30
1
0
16 Jul 2021
Dropout Regularization for Self-Supervised Learning of Transformer
  Encoder Speech Representation
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation
Jian Luo
Jianzong Wang
Ning Cheng
Jing Xiao
SSL
66
6
0
09 Jul 2021
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed
  Number of Neurons
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons
Zuowei Shen
Haizhao Yang
Shijun Zhang
169
38
0
06 Jul 2021
Morphological Classification of Galaxies in S-PLUS using an Ensemble of
  Convolutional Networks
Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks
N. M. Cardoso
G. B. O. Schwarz
L. O. Dias
C. R. Bom
L. Sodré
C. Mendes de Oliveira
49
0
0
05 Jul 2021
Generalization by design: Shortcuts to Generalization in Deep Learning
Generalization by design: Shortcuts to Generalization in Deep Learning
P. Táborský
Lars Kai Hansen
OODAI4CE
20
0
0
05 Jul 2021
Classical Planning in Deep Latent Space
Classical Planning in Deep Latent Space
Masataro Asai
Hiroshi Kajino
A. Fukunaga
Christian Muise
VLM
82
19
0
30 Jun 2021
An Uncertainty Estimation Framework for Probabilistic Object Detection
An Uncertainty Estimation Framework for Probabilistic Object Detection
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
UQCV
50
2
0
28 Jun 2021
R-Drop: Regularized Dropout for Neural Networks
R-Drop: Regularized Dropout for Neural Networks
Xiaobo Liang
Lijun Wu
Juntao Li
Yue Wang
Qi Meng
Tao Qin
Wei Chen
Hao Fei
Tie-Yan Liu
90
438
0
28 Jun 2021
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for
  Efficient Training
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Anup Sarma
Sonali Singh
Huaipan Jiang
Rui Zhang
M. Kandemir
Chita R. Das
26
1
0
22 Jun 2021
Randomness In Neural Network Training: Characterizing The Impact of
  Tooling
Randomness In Neural Network Training: Characterizing The Impact of Tooling
Donglin Zhuang
Xingyao Zhang
Shuaiwen Leon Song
Sara Hooker
85
78
0
22 Jun 2021
Towards Optimally Weighted Physics-Informed Neural Networks in Ocean
  Modelling
Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling
T. Wolff
Hugo Carrillo Lincopi
Luis Martí
Nayat Sánchez-Pi
PINNAI4CE
74
13
0
16 Jun 2021
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes
  Without Passing Messages
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
Yi Luo
Aiguo Chen
Ke Yan
Ling Tian
70
15
0
16 Jun 2021
CODA: Constructivism Learning for Instance-Dependent Dropout
  Architecture Construction
CODA: Constructivism Learning for Instance-Dependent Dropout Architecture Construction
Xiaoli Li
16
0
0
15 Jun 2021
A Syntax-Guided Edit Decoder for Neural Program Repair
A Syntax-Guided Edit Decoder for Neural Program Repair
Qihao Zhu
Zeyu Sun
Yuan-an Xiao
Wenjie Zhang
Kang Yuan
Y. Xiong
Lu Zhang
KELM
119
227
0
15 Jun 2021
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