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Batch Normalized Recurrent Neural Networks

Batch Normalized Recurrent Neural Networks

5 October 2015
César Laurent
Gabriel Pereyra
Philemon Brakel
Yuhang Zhang
Yoshua Bengio
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Papers citing "Batch Normalized Recurrent Neural Networks"

33 / 33 papers shown
Title
Attention Normalization Impacts Cardinality Generalization in Slot
  Attention
Attention Normalization Impacts Cardinality Generalization in Slot Attention
Markus Krimmel
Jan Achterhold
Joerg Stueckler
OCL
42
0
0
04 Jul 2024
Batch Layer Normalization, A new normalization layer for CNNs and RNN
Batch Layer Normalization, A new normalization layer for CNNs and RNN
A. Ziaee
Erion cCano
13
12
0
19 Sep 2022
Supervised Machine Learning for Effective Missile Launch Based on Beyond
  Visual Range Air Combat Simulations
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations
Joao P. A. Dantas
André N. Costa
F. E. L. Medeiros
Diego Geraldo
Marcos R. O. A. Máximo
Takashi Yoneyama
24
12
0
09 Jul 2022
A Highly Adaptive Acoustic Model for Accurate Multi-Dialect Speech
  Recognition
A Highly Adaptive Acoustic Model for Accurate Multi-Dialect Speech Recognition
Sanghyun Yoo
Inchul Song
Yoshua Bengio
22
28
0
06 May 2022
Batch Normalization Preconditioning for Neural Network Training
Batch Normalization Preconditioning for Neural Network Training
Susanna Lange
Kyle E. Helfrich
Qiang Ye
27
9
0
02 Aug 2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Jérémie Laydevant
M. Ernoult
D. Querlioz
Julie Grollier
23
16
0
16 Mar 2021
Group Whitening: Balancing Learning Efficiency and Representational
  Capacity
Group Whitening: Balancing Learning Efficiency and Representational Capacity
Lei Huang
Yi Zhou
Li Liu
Fan Zhu
Ling Shao
22
20
0
28 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
24
54
0
08 Jun 2020
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained
  Visual Categorization
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
Mina Basirat
P. Roth
6
8
0
27 Oct 2019
Switchable Normalization for Learning-to-Normalize Deep Representation
Switchable Normalization for Learning-to-Normalize Deep Representation
Ping Luo
Ruimao Zhang
Jiamin Ren
Zhanglin Peng
Jingyu Li
30
73
0
22 Jul 2019
Deep auscultation: Predicting respiratory anomalies and diseases via
  recurrent neural networks
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
D. Perna
Andrea Tagarelli
11
99
0
11 Jul 2019
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
Toby Perrett
Dima Damen
22
24
0
18 Apr 2019
Accelerating Training of Deep Neural Networks with a Standardization
  Loss
Accelerating Training of Deep Neural Networks with a Standardization Loss
Jasmine Collins
Johannes Ballé
Jonathon Shlens
16
3
0
03 Mar 2019
Interaction-aware Kalman Neural Networks for Trajectory Prediction
Interaction-aware Kalman Neural Networks for Trajectory Prediction
Ce Ju
Zhilin Wang
Cheng Long
Xiaoyu Zhang
D. Chang
18
53
0
28 Feb 2019
The PyTorch-Kaldi Speech Recognition Toolkit
The PyTorch-Kaldi Speech Recognition Toolkit
Mirco Ravanelli
Titouan Parcollet
Yoshua Bengio
VLM
OffRL
14
225
0
19 Nov 2018
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for
  Speech Recognition
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition
Jonathan Lee
Michael Laskey
Bo-Kyeong Kim
A. Aswani
Soo-Young Lee
16
17
0
06 Nov 2018
Human Motion Analysis with Deep Metric Learning
Human Motion Analysis with Deep Metric Learning
Huseyin Coskun
D. Tan
Sailesh Conjeti
Nassir Navab
Federico Tombari
11
49
0
30 Jul 2018
Understanding Batch Normalization
Understanding Batch Normalization
Johan Bjorck
Carla P. Gomes
B. Selman
Kilian Q. Weinberger
18
593
0
01 Jun 2018
Decorrelated Batch Normalization
Decorrelated Batch Normalization
Lei Huang
Dawei Yang
B. Lang
Jia Deng
11
190
0
23 Apr 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
873
0
03 Mar 2018
CNN+LSTM Architecture for Speech Emotion Recognition with Data
  Augmentation
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
Caroline Etienne
Guillaume Fidanza
Andrei Petrovskii
Laurence Devillers
B. Schmauch
19
99
0
15 Feb 2018
Improving speech recognition by revising gated recurrent units
Improving speech recognition by revising gated recurrent units
Mirco Ravanelli
Philemon Brakel
M. Omologo
Yoshua Bengio
16
52
0
29 Sep 2017
A comprehensive study of batch construction strategies for recurrent
  neural networks in MXNet
A comprehensive study of batch construction strategies for recurrent neural networks in MXNet
P. Doetsch
Pavel Golik
Hermann Ney
32
17
0
05 May 2017
Deep Clustering and Conventional Networks for Music Separation: Stronger
  Together
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo
Zhuo Chen
J. Hershey
Jonathan Le Roux
N. Mesgarani
22
162
0
18 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network
  Normalization Schemes
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
Mengye Ren
Renjie Liao
R. Urtasun
Fabian H. Sinz
R. Zemel
19
81
0
14 Nov 2016
Multiple Regularizations Deep Learning for Paddy Growth Stages
  Classification from LANDSAT-8
Multiple Regularizations Deep Learning for Paddy Growth Stages Classification from LANDSAT-8
Ines Heidieni Ikasari
Vina Ayumi
M. I. Fanany
S. Mulyono
16
25
0
06 Oct 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
Recurrent Batch Normalization
Recurrent Batch Normalization
Tim Cooijmans
Nicolas Ballas
César Laurent
Çağlar Gülçehre
Aaron Courville
ODL
19
410
0
30 Mar 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
16
60
0
06 Feb 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
19
2,954
0
08 Dec 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CE
ODL
27
541
0
21 Nov 2015
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