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Training Very Deep Networks

Training Very Deep Networks

22 July 2015
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
ArXivPDFHTML

Papers citing "Training Very Deep Networks"

50 / 559 papers shown
Title
Convolutional Networks with Dense Connectivity
Convolutional Networks with Dense Connectivity
Gao Huang
Zhuang Liu
Geoff Pleiss
Laurens van der Maaten
Kilian Q. Weinberger
3DV
35
440
0
08 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
19
119
0
04 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
24
13
0
02 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
34
81
0
02 Jan 2020
Deep Context-Aware Kernel Networks
Deep Context-Aware Kernel Networks
Mingyuan Jiu
H. Sahbi
11
1
0
29 Dec 2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
11
94
0
23 Dec 2019
Totally Deep Support Vector Machines
Totally Deep Support Vector Machines
H. Sahbi
25
2
0
12 Dec 2019
Self Organizing Nebulous Growths for Robust and Incremental Data
  Visualization
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization
Damith A. Senanayake
Wei Wang
S. Naik
Saman K. Halgamuge
AI4TS
13
16
0
09 Dec 2019
Exploring the Ideal Depth of Neural Network when Predicting Question
  Deletion on Community Question Answering
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering
Souvick Ghosh
Satanu Ghosh
20
4
0
08 Dec 2019
Non-Autoregressive Coarse-to-Fine Video Captioning
Non-Autoregressive Coarse-to-Fine Video Captioning
Bang-ju Yang
Yuexian Zou
Fenglin Liu
Can Zhang
27
11
0
27 Nov 2019
Deep Decomposition Learning for Inverse Imaging Problems
Deep Decomposition Learning for Inverse Imaging Problems
Dongdong Chen
Mike E. Davies
13
40
0
25 Nov 2019
Bootstrapping NLU Models with Multi-task Learning
Bootstrapping NLU Models with Multi-task Learning
Shubham Kapoor
C. Tirkaz
17
3
0
15 Nov 2019
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role
  Labeling
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
Qingrong Xia
Zhenghua Li
Min Zhang
28
17
0
12 Nov 2019
NAT: Neural Architecture Transformer for Accurate and Compact
  Architectures
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Yong Guo
Yin Zheng
Mingkui Tan
Qi Chen
Jian Chen
P. Zhao
Junzhou Huang
27
82
0
31 Oct 2019
Deep 1D-Convnet for accurate Parkinson disease detection and severity
  prediction from gait
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maâchi
Guillaume-Alexandre Bilodeau
W. Bouachir
14
197
0
25 Oct 2019
Boosting Network Weight Separability via Feed-Backward Reconstruction
Boosting Network Weight Separability via Feed-Backward Reconstruction
Jongmin Yu
M. Jeon
34
0
0
20 Oct 2019
On Warm-Starting Neural Network Training
On Warm-Starting Neural Network Training
Jordan T. Ash
Ryan P. Adams
AI4CE
31
21
0
18 Oct 2019
Enhancing the Transformer with Explicit Relational Encoding for Math
  Problem Solving
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Imanol Schlag
P. Smolensky
Roland Fernandez
Nebojsa Jojic
Jürgen Schmidhuber
Jianfeng Gao
27
52
0
15 Oct 2019
Aligning Cross-Lingual Entities with Multi-Aspect Information
Aligning Cross-Lingual Entities with Multi-Aspect Information
Hsiu-Wei Yang
Yanyan Zou
Peng Shi
Wei Lu
Jimmy J. Lin
Xu Sun
30
143
0
15 Oct 2019
Effects of Depth, Width, and Initialization: A Convergence Analysis of
  Layer-wise Training for Deep Linear Neural Networks
Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural Networks
Yeonjong Shin
21
12
0
14 Oct 2019
Parameter-Transferred Wasserstein Generative Adversarial Network
  (PT-WGAN) for Low-Dose PET Image Denoising
Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising
Yu Gong
Hongming Shan
Yueyang Teng
Taohui Xiao
Ming Li
Guodong Liang
Ge Wang
Shanshan Wang
GAN
MedIm
19
2
0
13 Oct 2019
Residual Encoder-Decoder Network for Deep Subspace Clustering
Residual Encoder-Decoder Network for Deep Subspace Clustering
Shuai Yang
Wenqi Zhu
Yuesheng Zhu
14
13
0
12 Oct 2019
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic
  Parsing using Recursive Masked Sequence Tagging
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging
Gabriel Marzinotto
Johannes Heinecke
Géraldine Damnati
11
4
0
07 Oct 2019
Robust Semantic Parsing with Adversarial Learning for Domain
  Generalization
Robust Semantic Parsing with Adversarial Learning for Domain Generalization
Gabriel Marzinotto
Géraldine Damnati
Frédéric Béchet
Benoit Favre
14
13
0
01 Oct 2019
Automated curricula through setter-solver interactions
Automated curricula through setter-solver interactions
S. Racanière
Andrew Kyle Lampinen
Adam Santoro
David P. Reichert
Vlad Firoiu
Timothy Lillicrap
31
53
0
27 Sep 2019
Implicit Semantic Data Augmentation for Deep Networks
Implicit Semantic Data Augmentation for Deep Networks
Yulin Wang
Xuran Pan
Shiji Song
Hong Zhang
Cheng Wu
Gao Huang
31
196
0
26 Sep 2019
Learning in the Machine: To Share or Not to Share?
Learning in the Machine: To Share or Not to Share?
J. Ott
Erik J. Linstead
Nicholas LaHaye
Pierre Baldi
21
16
0
23 Sep 2019
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role
  Labeling
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNN
19
39
0
21 Sep 2019
NatCSNN: A Convolutional Spiking Neural Network for recognition of
  objects extracted from natural images
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images
Pedro Machado
Georgina Cosma
T. McGinnity
6
5
0
18 Sep 2019
Towards Understanding the Importance of Shortcut Connections in Residual
  Networks
Towards Understanding the Importance of Shortcut Connections in Residual Networks
Tianyi Liu
Minshuo Chen
Mo Zhou
S. Du
Enlu Zhou
T. Zhao
9
43
0
10 Sep 2019
Self-Teaching Networks
Self-Teaching Networks
Liang Lu
Eric Sun
Jiawei Liu
SSL
14
4
0
09 Sep 2019
Differential equations as models of deep neural networks
Differential equations as models of deep neural networks
J. Ruseckas
11
3
0
09 Sep 2019
Semantic Role Labeling with Iterative Structure Refinement
Semantic Role Labeling with Iterative Structure Refinement
Chunchuan Lyu
Shay B. Cohen
Ivan Titov
OffRL
23
21
0
07 Sep 2019
A Geometry-Sensitive Approach for Photographic Style Classification
A Geometry-Sensitive Approach for Photographic Style Classification
Koustav Ghosal
Mukta Prasad
A. Smolic
GAN
9
6
0
03 Sep 2019
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to
  Cloud
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
Ashkan Yousefpour
Siddartha Devic
Brian Q. Nguyen
Aboudy Kreidieh
Alan Liao
Alexandre M. Bayen
J. Jue
FedML
GNN
18
23
0
03 Sep 2019
HarDNet: A Low Memory Traffic Network
HarDNet: A Low Memory Traffic Network
P. Chao
Chao-Yang Kao
Yunxing Ruan
Chien-Hsiang Huang
Y. Lin
198
268
0
03 Sep 2019
Memorizing All for Implicit Discourse Relation Recognition
Memorizing All for Implicit Discourse Relation Recognition
Hongxiao Bai
Hai Zhao
Junhan Zhao
19
10
0
29 Aug 2019
Smaller Models, Better Generalization
Smaller Models, Better Generalization
Mayank Sharma
Suraj Tripathi
Abhimanyu Dubey
Jayadeva Jayadeva
Sai Guruju
Nihal Goalla
17
1
0
29 Aug 2019
Multiresolution Transformer Networks: Recurrence is Not Essential for
  Modeling Hierarchical Structure
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure
Vikas K. Garg
Inderjit S. Dhillon
Hsiang-Fu Yu
22
7
0
27 Aug 2019
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local
  Knowledge Selection for Background Based Conversation
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
Pengjie Ren
Zhumin Chen
Christof Monz
Jun Ma
Maarten de Rijke
11
72
0
26 Aug 2019
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
Hao Jin
Dachao Lin
Zhihua Zhang
ODL
15
2
0
18 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
GNN
24
130
0
16 Aug 2019
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras
Andrew Gilbert
M. Trumble
A. Hilton
John Collomosse
3DH
33
1
0
08 Aug 2019
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE)
  for Speech Feature Enhancement
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement
Alzahra Badi
Sangwook Park
D. Han
Hanseok Ko
16
6
0
26 Jul 2019
Generic Intent Representation in Web Search
Generic Intent Representation in Web Search
Hongfei Zhang
Xia Song
Chenyan Xiong
Corby Rosset
Paul N. Bennett
Nick Craswell
Saurabh Tiwary
24
52
0
24 Jul 2019
Syntax-aware Neural Semantic Role Labeling
Syntax-aware Neural Semantic Role Labeling
Qingrong Xia
Zhenghua Li
Min Zhang
Meishan Zhang
Guohong Fu
Rui-cang Wang
Luo Si
NAI
6
41
0
22 Jul 2019
Open DNN Box by Power Side-Channel Attack
Open DNN Box by Power Side-Channel Attack
Yun Xiang
Zhuangzhi Chen
Zuohui Chen
Zebin Fang
Haiyang Hao
Jinyin Chen
Yi Liu
Zhefu Wu
Qi Xuan
Xiaoniu Yang
AAML
20
88
0
21 Jul 2019
SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
Zheng Li
Shi Shu
14
0
0
09 Jul 2019
IRNet: A General Purpose Deep Residual Regression Framework for
  Materials Discovery
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
Dipendra Jha
Logan T. Ward
Zijiang Yang
C. Wolverton
Ian Foster
W. Liao
A. Choudhary
Ankit Agrawal
PINN
19
44
0
07 Jul 2019
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
A. Sharma
H. Foroosh
CVBM
3DH
19
41
0
03 Jul 2019
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