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Layer Normalization

Layer Normalization

21 July 2016
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
ArXivPDFHTML

Papers citing "Layer Normalization"

50 / 5,502 papers shown
Title
Learning a bidirectional mapping between human whole-body motion and
  natural language using deep recurrent neural networks
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert
Christian Mandery
Tamim Asfour
3DH
27
129
0
18 May 2017
Reducing Bias in Production Speech Models
Reducing Bias in Production Speech Models
Eric Battenberg
R. Child
Adam Coates
Christopher Fougner
Yashesh Gaur
...
Vinay Rao
S. Satheesh
David Seetapun
Anuroop Sriram
Zhenyao Zhu
38
10
0
11 May 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
37
3,263
0
08 May 2017
Supervised Learning of Universal Sentence Representations from Natural
  Language Inference Data
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau
Douwe Kiela
Holger Schwenk
Loïc Barrault
Antoine Bordes
AI4TS
SSL
25
2,093
0
05 May 2017
NormFace: L2 Hypersphere Embedding for Face Verification
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang
Xiang Xiang
Jian Cheng
Alan Yuille
3DH
CVBM
15
739
0
21 Apr 2017
Sparse Communication for Distributed Gradient Descent
Sparse Communication for Distributed Gradient Descent
Alham Fikri Aji
Kenneth Heafield
13
731
0
17 Apr 2017
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
Y. Jang
Yale Song
Youngjae Yu
Youngjin Kim
Gunhee Kim
32
546
0
14 Apr 2017
A Neural Representation of Sketch Drawings
A Neural Representation of Sketch Drawings
David R Ha
Douglas Eck
20
859
0
11 Apr 2017
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
Liwei Wang
Yin Li
Jing-ling Huang
Svetlana Lazebnik
VLM
27
494
0
11 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
21
1,221
0
10 Apr 2017
Learning to Generate Reviews and Discovering Sentiment
Learning to Generate Reviews and Discovering Sentiment
Alec Radford
Rafal Jozefowicz
Ilya Sutskever
44
504
0
05 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
16
9,471
0
31 Mar 2017
Learning Simpler Language Models with the Differential State Framework
Learning Simpler Language Models with the Differential State Framework
Alexander Ororbia
Tomáš Mikolov
David Reitter
AI4TS
14
65
0
26 Mar 2017
In Defense of the Triplet Loss for Person Re-Identification
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
20
3,182
0
22 Mar 2017
An End-to-End Approach to Natural Language Object Retrieval via
  Context-Aware Deep Reinforcement Learning
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
Fan Wu
Zhongwen Xu
Yi Yang
ObjD
34
11
0
22 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
18
4,302
0
20 Mar 2017
Learning Robust Visual-Semantic Embeddings
Learning Robust Visual-Semantic Embeddings
Yao-Hung Hubert Tsai
Liang-Kang Huang
Ruslan Salakhutdinov
SSL
AI4TS
27
166
0
17 Mar 2017
SyntaxNet Models for the CoNLL 2017 Shared Task
SyntaxNet Models for the CoNLL 2017 Shared Task
Chris Alberti
D. Andor
Ivan Bogatyy
Michael Collins
D. Gillick
...
Mark Omernick
Slav Petrov
C. Thanapirom
Zora Tung
David J. Weiss
3DV
19
33
0
15 Mar 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
19
181
0
06 Mar 2017
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term
  Dependencies
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
R. DiPietro
Christian Rupprecht
Nassir Navab
Gregory Hager
10
26
0
24 Feb 2017
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in
  Neural Networks
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo
Jianfeng Zhan
Lei Wang
Qiang Yang
24
198
0
20 Feb 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in
  Batch-Normalized Models
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
BDL
16
537
0
10 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
23
251
0
08 Feb 2017
Automatic Prediction of Discourse Connectives
Automatic Prediction of Discourse Connectives
Eric Malmi
Daniele Pighin
Sebastian Krause
Mikhail Kozhevnikov
21
20
0
03 Feb 2017
Memory Augmented Neural Networks with Wormhole Connections
Memory Augmented Neural Networks with Wormhole Connections
Çağlar Gülçehre
A. Chandar
Yoshua Bengio
18
63
0
30 Jan 2017
Universal representations:The missing link between faces, text,
  planktons, and cat breeds
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
38
147
0
25 Jan 2017
Improved Texture Networks: Maximizing Quality and Diversity in
  Feed-forward Stylization and Texture Synthesis
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
10
789
0
09 Jan 2017
Continuous multilinguality with language vectors
Continuous multilinguality with language vectors
Robert Östling
Jörg Tiedemann
14
80
0
22 Dec 2016
Few-Shot Object Recognition from Machine-Labeled Web Images
Few-Shot Object Recognition from Machine-Labeled Web Images
Zhongwen Xu
Linchao Zhu
Yi Yang
VLM
16
66
0
19 Dec 2016
An empirical analysis of the optimization of deep network loss surfaces
An empirical analysis of the optimization of deep network loss surfaces
Daniel Jiwoong Im
Michael Tao
K. Branson
ODL
32
61
0
13 Dec 2016
Piecewise Latent Variables for Neural Variational Text Processing
Piecewise Latent Variables for Neural Variational Text Processing
Iulian Serban
Alexander Ororbia
Joelle Pineau
Aaron Courville
DRL
BDL
19
2
0
01 Dec 2016
Recurrent Memory Addressing for describing videos
Recurrent Memory Addressing for describing videos
A. Jain
Abhinav Agarwalla
Kumar Krishna Agrawal
Pabitra Mitra
38
10
0
20 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
35
81
0
14 Nov 2016
Multi-task learning with deep model based reinforcement learning
Multi-task learning with deep model based reinforcement learning
Asier Mujika
20
9
0
04 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLL
NAI
31
99
0
04 Nov 2016
Deep Convolutional Neural Network Design Patterns
Deep Convolutional Neural Network Design Patterns
L. Smith
Nicholay Topin
AI4CE
OOD
38
59
0
02 Nov 2016
Neural Machine Translation in Linear Time
Neural Machine Translation in Linear Time
Nal Kalchbrenner
L. Espeholt
Karen Simonyan
Aaron van den Oord
Alex Graves
Koray Kavukcuoglu
AIMat
30
548
0
31 Oct 2016
Surprisal-Driven Zoneout
Surprisal-Driven Zoneout
K. Rocki
Tomasz Kornuta
Tegan Maharaj
21
8
0
24 Oct 2016
Using Fast Weights to Attend to the Recent Past
Using Fast Weights to Attend to the Recent Past
Jimmy Ba
Geoffrey E. Hinton
Volodymyr Mnih
Joel Z Leibo
Catalin Ionescu
6
262
0
20 Oct 2016
Streaming Normalization: Towards Simpler and More Biologically-plausible
  Normalizations for Online and Recurrent Learning
Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning
Q. Liao
Kenji Kawaguchi
T. Poggio
21
28
0
19 Oct 2016
End-to-end Concept Word Detection for Video Captioning, Retrieval, and
  Question Answering
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering
Youngjae Yu
Hyungjin Ko
Jongwook Choi
Gunhee Kim
14
230
0
10 Oct 2016
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
35
777
0
03 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRL
SSL
14
1,472
0
03 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
84
1,585
0
27 Sep 2016
Geometry-Based Next Frame Prediction from Monocular Video
Geometry-Based Next Frame Prediction from Monocular Video
R. Mahjourian
Martin Wicke
A. Angelova
MDE
11
41
0
20 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
31
534
0
06 Sep 2016
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
Çağlar Gülçehre
A. Chandar
Kyunghyun Cho
Yoshua Bengio
14
64
0
30 Jun 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
24
161
0
21 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David M. Krueger
Tegan Maharaj
János Kramár
Mohammad Pezeshki
Nicolas Ballas
Nan Rosemary Ke
Anirudh Goyal
Yoshua Bengio
Aaron Courville
C. Pal
10
317
0
03 Jun 2016
Backprop KF: Learning Discriminative Deterministic State Estimators
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja
Anurag Ajay
Sergey Levine
Pieter Abbeel
17
201
0
23 May 2016
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