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. 1602.07868
  4. Cited By
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

25 February 2016
Tim Salimans
Diederik P. Kingma
    ODL
ArXivPDFHTML

Papers citing "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

50 / 957 papers shown
Title
Unsupervised domain adaptation for medical imaging segmentation with
  self-ensembling
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
C. Perone
P. Ballester
Rodrigo C. Barros
Julien Cohen-Adad
OOD
33
207
0
14 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for
  Financial Time Series
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series
Qiang Zhang
Kyle Birkeland
Yaodong Yang
Y. Liu
22
9
0
08 Nov 2018
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward
  Neural Networks
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks
Ping Guo
Ke Wang
Xiuling Zhou
20
18
0
05 Nov 2018
Minimax Estimation of Neural Net Distance
Minimax Estimation of Neural Net Distance
Kaiyi Ji
Yingbin Liang
GAN
17
8
0
02 Nov 2018
Abstractive Summarization of Reddit Posts with Multi-level Memory
  Networks
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim
Hyunwoo J. Kim
Gunhee Kim
12
181
0
02 Nov 2018
Stochastic Normalizations as Bayesian Learning
Stochastic Normalizations as Bayesian Learning
Alexander Shekhovtsov
B. Flach
UQCV
BDL
15
15
0
01 Nov 2018
Balanced Sparsity for Efficient DNN Inference on GPU
Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao
Shijie Cao
Wencong Xiao
Chen Zhang
Lanshun Nie
25
90
0
01 Nov 2018
WaveGlow: A Flow-based Generative Network for Speech Synthesis
WaveGlow: A Flow-based Generative Network for Speech Synthesis
R. Prenger
Rafael Valle
Bryan Catanzaro
17
1,023
0
31 Oct 2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative
  Adversarial Learning
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Arnab Kumar Mondal
Jose Dolz
Christian Desrosiers
GAN
MedIm
37
118
0
29 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
22
189
0
22 Oct 2018
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in
  Higher Dimensions
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
Muhammad Kamran Janjua
Shah Nawaz
Alessandro Calefati
I. Gallo
16
0
0
16 Oct 2018
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT
  2018
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018
Mattia Antonino Di Gangi
Roberto Dessì
R. Cattoni
Matteo Negri
Marco Turchi
18
10
0
16 Oct 2018
Trellis Networks for Sequence Modeling
Trellis Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
25
145
0
15 Oct 2018
Revisit Batch Normalization: New Understanding from an Optimization View
  and a Refinement via Composition Optimization
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization
Xiangru Lian
Ji Liu
11
6
0
15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
32
550
0
12 Oct 2018
Information Geometry of Orthogonal Initializations and Training
Information Geometry of Orthogonal Initializations and Training
Piotr A. Sokól
Il-Su Park
AI4CE
72
16
0
09 Oct 2018
Understanding Weight Normalized Deep Neural Networks with Rectified
  Linear Units
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Yixi Xu
Tianlin Li
MQ
31
12
0
03 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy
  search
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
32
159
0
02 Oct 2018
A Quantitative Analysis of the Effect of Batch Normalization on Gradient
  Descent
A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent
Yongqiang Cai
Qianxiao Li
Zuowei Shen
14
3
0
29 Sep 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
54
5,322
0
28 Sep 2018
Batch-normalized Recurrent Highway Networks
Batch-normalized Recurrent Highway Networks
Chi Zhang
Thang Nguyen
Shagan Sah
R. Ptucha
A. Loui
C. Salvaggio
9
8
0
26 Sep 2018
Utilizing Class Information for Deep Network Representation Shaping
Utilizing Class Information for Deep Network Representation Shaping
Daeyoung Choi
Wonjong Rhee
8
2
0
25 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning via Meta-Policy Optimization
I. Clavera
Jonas Rothfuss
John Schulman
Yasuhiro Fujita
Tamim Asfour
Pieter Abbeel
19
224
0
14 Sep 2018
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
Xiao-Yun Zhou
Guang-Zhong Yang
18
77
0
11 Sep 2018
Logographic Subword Model for Neural Machine Translation
Logographic Subword Model for Neural Machine Translation
Yihao Fang
Ronghuo Zheng
Xiao-Dan Zhu
22
0
0
07 Sep 2018
Improving Explorability in Variational Inference with Annealed
  Variational Objectives
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang
Shawn Tan
Alexandre Lacoste
Aaron Courville
DRL
14
47
0
06 Sep 2018
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative
  Adversarial Network Approach
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
A. Lahiri
V. Jain
Arnab Kumar Mondal
P. Biswas
GAN
MedIm
36
12
0
05 Sep 2018
Towards Understanding Regularization in Batch Normalization
Towards Understanding Regularization in Batch Normalization
Ping Luo
Xinjiang Wang
Wenqi Shao
Zhanglin Peng
MLT
AI4CE
23
179
0
04 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Ming Ding
Jie Tang
Jie Zhang
GNN
GAN
6
116
0
01 Sep 2018
Wide Activation for Efficient and Accurate Image Super-Resolution
Wide Activation for Efficient and Accurate Image Super-Resolution
Jiahui Yu
Yuchen Fan
Jianchao Yang
N. Xu
Zhaowen Wang
Xinchao Wang
Thomas Huang
SupR
14
355
0
27 Aug 2018
Importance mixing: Improving sample reuse in evolutionary policy search
  methods
Importance mixing: Improving sample reuse in evolutionary policy search methods
Aloïs Pourchot
Nicolas Perrin
Olivier Sigaud
7
14
0
17 Aug 2018
Collapse of Deep and Narrow Neural Nets
Collapse of Deep and Narrow Neural Nets
Lu Lu
Yanhui Su
George Karniadakis
ODL
11
153
0
15 Aug 2018
Question-Guided Hybrid Convolution for Visual Question Answering
Question-Guided Hybrid Convolution for Visual Question Answering
Peng Gao
Pan Lu
Hongsheng Li
Shuang Li
Yikang Li
Guosheng Lin
Xiaogang Wang
26
68
0
08 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
31
16
0
05 Aug 2018
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
Raul Puri
Robert M. Kirby
Nikolai Yakovenko
Bryan Catanzaro
14
29
0
03 Aug 2018
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing
  With Multinomial Mixture Kernel and Endmember Uncertainty
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty
Savas Ozkan
G. Akar
UQCV
14
13
0
03 Aug 2018
Deep Appearance Models for Face Rendering
Deep Appearance Models for Face Rendering
Stephen Lombardi
Jason M. Saragih
Tomas Simon
Yaser Sheikh
CVBM
3DH
15
280
0
01 Aug 2018
Improving Electron Micrograph Signal-to-Noise with an Atrous
  Convolutional Encoder-Decoder
Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder
Jeffrey M. Ede
28
1
0
30 Jul 2018
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
Guoqiang Zhang
Hao Li
11
10
0
26 Jul 2018
Pythia v0.1: the Winning Entry to the VQA Challenge 2018
Pythia v0.1: the Winning Entry to the VQA Challenge 2018
Yu Jiang
Vivek Natarajan
Xinlei Chen
Marcus Rohrbach
Dhruv Batra
Devi Parikh
VLM
15
202
0
26 Jul 2018
Convolutional Sparse Kernel Network for Unsupervised Medical Image
  Analysis
Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis
Euijoon Ahn
Jinman Kim
Ashnil Kumar
M. Fulham
Da-wei Feng
12
2
0
16 Jul 2018
Manifold regularization with GANs for semi-supervised learning
Manifold regularization with GANs for semi-supervised learning
Bruno Lecouat
Chuan-Sheng Foo
Houssam Zenati
V. Chandrasekhar
GAN
16
14
0
11 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
19
3,081
0
09 Jul 2018
Denoising Auto-encoder with Recurrent Skip Connections and Residual
  Regression for Music Source Separation
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
Jen-Yu Liu
Yi-Hsuan Yang
30
38
0
05 Jul 2018
Product-based Neural Networks for User Response Prediction over
  Multi-field Categorical Data
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu
Bohui Fang
Weinan Zhang
Ruiming Tang
Minzhe Niu
Huifeng Guo
Yong Yu
Xiuqiang He
11
179
0
01 Jul 2018
Theory IIIb: Generalization in Deep Networks
Theory IIIb: Generalization in Deep Networks
T. Poggio
Q. Liao
Brando Miranda
Andrzej Banburski
Xavier Boix
Jack Hidary
ODL
AI4CE
27
26
0
29 Jun 2018
High Diversity Attribute Guided Face Generation with GANs
High Diversity Attribute Guided Face Generation with GANs
Evgeny Izutov
CVBM
GAN
21
0
0
28 Jun 2018
Differentiable Learning-to-Normalize via Switchable Normalization
Differentiable Learning-to-Normalize via Switchable Normalization
Ping Luo
Jiamin Ren
Zhanglin Peng
Ruimao Zhang
Jingyu Li
11
176
0
28 Jun 2018
Tensor Monte Carlo: particle methods for the GPU era
Tensor Monte Carlo: particle methods for the GPU era
Laurence Aitchison
BDL
DRL
22
13
0
22 Jun 2018
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU
  Activation in Deep Learning
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning
Zhi Chen
P. Ho
12
3
0
19 Jun 2018
Previous
123...151617181920
Next