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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
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
25
29,969
0
01 Mar 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight
  Dequantization
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
Jaehong Yoon
Geondo Park
Wonyong Jeong
Sung Ju Hwang
FedML
19
19
0
23 Feb 2022
Learning to Detect Slip with Barometric Tactile Sensors and a Temporal
  Convolutional Neural Network
Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network
Abhinav Grover
Philippe Nadeau
C. Grebe
Jonathan Kelly
19
9
0
19 Feb 2022
ST-MoE: Designing Stable and Transferable Sparse Expert Models
ST-MoE: Designing Stable and Transferable Sparse Expert Models
Barret Zoph
Irwan Bello
Sameer Kumar
Nan Du
Yanping Huang
J. Dean
Noam M. Shazeer
W. Fedus
MoE
24
181
0
17 Feb 2022
Learning Smooth Neural Functions via Lipschitz Regularization
Learning Smooth Neural Functions via Lipschitz Regularization
Hsueh-Ti Derek Liu
Francis Williams
Alec Jacobson
Sanja Fidler
Or Litany
11
96
0
16 Feb 2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth
  Activations
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations
G. Shamir
Dong Lin
HAI
OffRL
23
6
0
14 Feb 2022
Robust Training of Neural Networks Using Scale Invariant Architectures
Robust Training of Neural Networks Using Scale Invariant Architectures
Zhiyuan Li
Srinadh Bhojanapalli
Manzil Zaheer
Sashank J. Reddi
Surinder Kumar
19
27
0
02 Feb 2022
PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded
  Speech
PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded Speech
Srikanth Korse
N. Pia
Kishan Gupta
Guillaume Fuchs
39
14
0
31 Jan 2022
Speckle-based optical cryptosystem and its application for human face
  recognition via deep learning
Speckle-based optical cryptosystem and its application for human face recognition via deep learning
Qi Zhao
Huanhao Li
Zhipeng Yu
Chi Man Woo
T. Zhong
Shengfu Cheng
Yuanjin Zheng
Honglin Liu
Jie Tian
Puxiang Lai
CVBM
6
23
0
26 Jan 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning
  Optimization Landscape
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape
Devansh Bisla
Jing Wang
A. Choromańska
25
34
0
20 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
42
4,967
0
10 Jan 2022
BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure
  Estimation via a Generic Deep Convolutional Architecture
BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture
Soheil Zabihi
E. Rahimian
Fatemeh Marefat
A. Asif
P. Mohseni
Arash Mohammadi
OOD
6
1
0
31 Dec 2021
Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial
  Neural Networks
Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks
S. Koushik
Dr. K. G. Srinivasa
GAN
MedIm
9
0
0
25 Dec 2021
Robust Recommendation with Implicit Feedback via Eliminating the Effects
  of Unexpected Behaviors
Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviors
Jie Chen
Lifen Jiang
Chunmei Ma
Huazhi Sun
17
0
0
21 Dec 2021
Improving Surrogate Gradient Learning in Spiking Neural Networks via
  Regularization and Normalization
Improving Surrogate Gradient Learning in Spiking Neural Networks via Regularization and Normalization
Nandan Meda
16
0
0
13 Dec 2021
Quality-Aware Multimodal Biometric Recognition
Quality-Aware Multimodal Biometric Recognition
Sobhan Soleymani
Ali Dabouei
Fariborz Taherkhani
Seyed Mehdi Iranmanesh
J. Dawson
Nasser M. Nasrabadi
CVBM
22
3
0
10 Dec 2021
Implicit Feature Refinement for Instance Segmentation
Implicit Feature Refinement for Instance Segmentation
Lufan Ma
Tiancai Wang
Bin Dong
Jiangpeng Yan
Xiu Li
Xiangyu Zhang
ISeg
17
5
0
09 Dec 2021
More layers! End-to-end regression and uncertainty on tabular data with
  deep learning
More layers! End-to-end regression and uncertainty on tabular data with deep learning
Ivan Bondarenko
OOD
LMTD
UQCV
17
4
0
07 Dec 2021
Parameter Efficient Deep Probabilistic Forecasting
Parameter Efficient Deep Probabilistic Forecasting
O. Sprangers
Sebastian Schelter
Maarten de Rijke
BDL
AI4TS
25
21
0
06 Dec 2021
A Daily Tourism Demand Prediction Framework Based on Multi-head
  Attention CNN: The Case of The Foreign Entrant in South Korea
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea
Dong-Keon Kim
S. K. Shyn
Donghee Kim
Seungwoo Jang
Kwangsu Kim
AI4TS
8
6
0
01 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Hui Sun
Tianqing Zhu
Zhiqiu Zhang
Dawei Jin
Wanlei Zhou
AAML
37
42
0
01 Dec 2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via
  Generalized Straight-Through Estimation
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu
Kwang-Ting Cheng
Dong Huang
Eric P. Xing
Zhiqiang Shen
MQ
25
102
0
29 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Yixuan Li
OODD
19
454
0
24 Nov 2021
Bi-Discriminator Class-Conditional Tabular GAN
Bi-Discriminator Class-Conditional Tabular GAN
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
8
12
0
12 Nov 2021
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
73
83
0
08 Nov 2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial
  Networks
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Vineeth S. Bhaskara
Tristan Aumentado-Armstrong
Allan D. Jepson
Alex Levinshtein
GAN
30
5
0
04 Nov 2021
Scale-Aware Dynamic Network for Continuous-Scale Super-Resolution
Scale-Aware Dynamic Network for Continuous-Scale Super-Resolution
Hanlin Wu
Ning Ni
Li-bao Zhang
SupR
25
4
0
29 Oct 2021
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Johan Bjorck
Carla P. Gomes
Kilian Q. Weinberger
57
23
0
21 Oct 2021
Robust Semi-Supervised Classification using GANs with Self-Organizing
  Maps
Robust Semi-Supervised Classification using GANs with Self-Organizing Maps
Ronald Fick
P. Gader
Alina Zare
17
0
0
19 Oct 2021
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison
Rithesh Kumar
Kundan Kumar
Prem Seetharaman
Aaron Courville
Yoshua Bengio
GAN
36
68
0
19 Oct 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image
  Features
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features
Meirui Jiang
Xiaoxiao Li
Xiaofei Zhang
Michael Kamp
Qianming Dou
FedML
OOD
32
0
0
19 Oct 2021
A Riemannian Mean Field Formulation for Two-layer Neural Networks with
  Batch Normalization
A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization
Chao Ma
Lexing Ying
MLT
14
2
0
17 Oct 2021
On the Security Risks of AutoML
On the Security Risks of AutoML
Ren Pang
Zhaohan Xi
S. Ji
Xiapu Luo
Ting Wang
AAML
16
10
0
12 Oct 2021
MARVEL: Raster Manga Vectorization via Primitive-wise Deep Reinforcement
  Learning
MARVEL: Raster Manga Vectorization via Primitive-wise Deep Reinforcement Learning
H. Su
Jianwei Niu
Xuefeng Liu
Jiahe Cui
Ji Wan
AI4TS
15
1
0
10 Oct 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain
  Adaptation
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
31
238
0
08 Oct 2021
Speeding up Deep Model Training by Sharing Weights and Then Unsharing
Speeding up Deep Model Training by Sharing Weights and Then Unsharing
Shuo Yang
Le Hou
Xiaodan Song
Qiang Liu
Denny Zhou
110
9
0
08 Oct 2021
ParaDiS: Parallelly Distributable Slimmable Neural Networks
ParaDiS: Parallelly Distributable Slimmable Neural Networks
A. Ozerov
Anne Lambert
S. Kumaraswamy
UQCV
MoE
24
1
0
06 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
98
36
0
06 Oct 2021
Improved architectures and training algorithms for deep operator
  networks
Improved architectures and training algorithms for deep operator networks
Sifan Wang
Hanwen Wang
P. Perdikaris
AI4CE
47
105
0
04 Oct 2021
A Novel Structured Natural Gradient Descent for Deep Learning
A Novel Structured Natural Gradient Descent for Deep Learning
Weihua Liu
Xiabi Liu
ODL
16
0
0
21 Sep 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural
  Networks
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
G. Bingham
Risto Miikkulainen
ODL
24
4
0
18 Sep 2021
Predicting the outcome of team movements -- Player time series analysis
  using fuzzy and deep methods for representation learning
Predicting the outcome of team movements -- Player time series analysis using fuzzy and deep methods for representation learning
Omid Shokrollahi
Bahman Rohani
A. Nobakhti
AI4TS
14
2
0
13 Sep 2021
Tensor Normalization and Full Distribution Training
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
OOD
19
4
0
06 Sep 2021
GDP: Stabilized Neural Network Pruning via Gates with Differentiable
  Polarization
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Yi Guo
Huan Yuan
Jianchao Tan
Zhangyang Wang
Sen Yang
Ji Liu
20
46
0
06 Sep 2021
On-target Adaptation
On-target Adaptation
Dequan Wang
Shaoteng Liu
Sayna Ebrahimi
Evan Shelhamer
Trevor Darrell
TTA
29
19
0
02 Sep 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Chi Zhang
Guosheng Lin
Lvlong Lai
Henghui Ding
Qingyao Wu
21
1
0
29 Aug 2021
Variational voxelwise rs-fMRI representation learning: Evaluation of
  sex, age, and neuropsychiatric signatures
Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures
Eloy P. T. Geenjaar
Tonya White
Vince D. Calhoun
19
1
0
29 Aug 2021
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional
  Neural Networks in Frequency Domain
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Guangyao Chen
Peixi Peng
Li Ma
Jia Li
Lin Du
Yonghong Tian
AAML
OOD
27
89
0
19 Aug 2021
Logit Attenuating Weight Normalization
Logit Attenuating Weight Normalization
Aman Gupta
R. Ramanath
Jun Shi
Anika Ramachandran
Sirou Zhou
Mingzhou Zhou
S. Keerthi
32
1
0
12 Aug 2021
Out-of-Domain Generalization from a Single Source: An Uncertainty
  Quantification Approach
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach
Xi Peng
Fengchun Qiao
Long Zhao
OOD
37
34
0
05 Aug 2021
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