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Unitary Evolution Recurrent Neural Networks
v1v2v3v4 (latest)

Unitary Evolution Recurrent Neural Networks

20 November 2015
Martín Arjovsky
Amar Shah
Yoshua Bengio
    ODL
ArXiv (abs)PDFHTML

Papers citing "Unitary Evolution Recurrent Neural Networks"

50 / 403 papers shown
Title
Learning to Adaptively Scale Recurrent Neural Networks
Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu
Liqiang Wang
Guo-Jun Qi
AI4CE
42
9
0
15 Feb 2019
Compression of Recurrent Neural Networks for Efficient Language Modeling
Compression of Recurrent Neural Networks for Efficient Language Modeling
Artem M. Grachev
D. Ignatov
Andrey V. Savchenko
55
39
0
06 Feb 2019
Widely Linear Kernels for Complex-Valued Kernel Activation Functions
Widely Linear Kernels for Complex-Valued Kernel Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Danilo Comminiello
A. Uncini
52
4
0
06 Feb 2019
Deep Learning for Inverse Problems: Bounds and Regularizers
Deep Learning for Inverse Problems: Bounds and Regularizers
Jaweria Amjad
Zhaoyang Lyu
M. Rodrigues
38
4
0
31 Jan 2019
State-Regularized Recurrent Neural Networks
State-Regularized Recurrent Neural Networks
Cheng Wang
Mathias Niepert
65
40
0
25 Jan 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple
  Parametrization of the Orthogonal and Unitary Group
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano Casado
David Martínez-Rubio
50
200
0
24 Jan 2019
Hamiltonian Monte-Carlo for Orthogonal Matrices
Hamiltonian Monte-Carlo for Orthogonal Matrices
V. Yanush
D. Kropotov
28
1
0
23 Jan 2019
Towards Non-saturating Recurrent Units for Modelling Long-term
  Dependencies
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
A. Chandar
Chinnadhurai Sankar
Eugene Vorontsov
Samira Ebrahimi Kahou
Yoshua Bengio
96
56
0
22 Jan 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated
  Recurrent Neural Network
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati
Manish Singh
Kush S. Bhatia
A. Kumar
Prateek Jain
Manik Varma
78
190
0
08 Jan 2019
Learning to Remember More with Less Memorization
Learning to Remember More with Less Memorization
Hung Le
T. Tran
Svetha Venkatesh
68
39
0
05 Jan 2019
Sequence Prediction using Spectral RNNs
Sequence Prediction using Spectral RNNs
Moritz Wolter
Juergen Gall
Angela Yao
AI4TS
29
2
0
13 Dec 2018
Evaluation of Complex-Valued Neural Networks on Real-Valued
  Classification Tasks
Evaluation of Complex-Valued Neural Networks on Real-Valued Classification Tasks
Nils Mönning
S. Manandhar
67
26
0
29 Nov 2018
Utilizing Complex-valued Network for Learning to Compare Image Patches
Utilizing Complex-valued Network for Learning to Compare Image Patches
Siwen Jiang
Wenxuan Wei
Shihao Guo
Hongguang Fu
Lei Huang
SSL
23
0
0
29 Nov 2018
Sorting out Lipschitz function approximation
Sorting out Lipschitz function approximation
Cem Anil
James Lucas
Roger C. Grosse
92
325
0
13 Nov 2018
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
K. D. G. Maduranga
Kyle E. Helfrich
Qiang Ye
69
32
0
09 Nov 2018
On the Equivalence of Convolutional and Hadamard Networks using DFT
On the Equivalence of Convolutional and Hadamard Networks using DFT
M. Crâsmaru
29
0
0
27 Oct 2018
Reversible Recurrent Neural Networks
Reversible Recurrent Neural Networks
M. Mackay
Paul Vicol
Jimmy Ba
Roger C. Grosse
73
53
0
25 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
93
188
0
22 Oct 2018
The loss surface of deep linear networks viewed through the algebraic
  geometry lens
The loss surface of deep linear networks viewed through the algebraic geometry lens
D. Mehta
Tianran Chen
Tingting Tang
J. Hauenstein
ODL
86
32
0
17 Oct 2018
Information Geometry of Orthogonal Initializations and Training
Information Geometry of Orthogonal Initializations and Training
Piotr A. Sokól
Il-Su Park
AI4CE
125
17
0
09 Oct 2018
h-detach: Modifying the LSTM Gradient Towards Better Optimization
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Devansh Arpit
Bhargav Kanuparthi
Giancarlo Kerg
Nan Rosemary Ke
Ioannis Mitliagkas
Yoshua Bengio
103
32
0
06 Oct 2018
McTorch, a manifold optimization library for deep learning
McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi
Pratik Jawanpuria
Anoop Kunchukuttan
Hiroyuki Kasai
Bamdev Mishra
AI4CE
96
41
0
03 Oct 2018
Sparse Attentive Backtracking: Temporal CreditAssignment Through
  Reminding
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Nan Rosemary Ke
Anirudh Goyal
O. Bilaniuk
Jonathan Binas
Michael C. Mozer
C. Pal
Yoshua Bengio
CLL
78
86
0
11 Sep 2018
Multimodal Language Analysis with Recurrent Multistage Fusion
Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang
Liu Ziyin
Amir Zadeh
Louis-Philippe Morency
137
198
0
12 Aug 2018
Character-Level Language Modeling with Deeper Self-Attention
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou
Dokook Choe
Noah Constant
Mandy Guo
Llion Jones
154
393
0
09 Aug 2018
MCRM: Mother Compact Recurrent Memory
MCRM: Mother Compact Recurrent Memory
Abduallah A. Mohamed
Christian G. Claudel
29
1
0
04 Aug 2018
Matrix optimization on universal unitary photonic devices
Matrix optimization on universal unitary photonic devices
Sunil Pai
Ben Bartlett
O. Solgaard
D. Miller
73
109
0
02 Aug 2018
Interpreting recurrent neural networks behaviour via excitable network
  attractors
Interpreting recurrent neural networks behaviour via excitable network attractors
Andrea Ceni
Peter Ashwin
L. Livi
110
49
0
27 Jul 2018
IGLOO: Slicing the Features Space to Represent Sequences
IGLOO: Slicing the Features Space to Represent Sequences
Vsevolod Sourkov
VLM
60
5
0
09 Jul 2018
Bayesian Deep Learning on a Quantum Computer
Bayesian Deep Learning on a Quantum Computer
Zhikuan Zhao
Alejandro Pozas-Kerstjens
Patrick Rebentrost
P. Wittek
UQCVBDL
81
72
0
29 Jun 2018
The challenge of realistic music generation: modelling raw audio at
  scale
The challenge of realistic music generation: modelling raw audio at scale
Sander Dieleman
Aaron van den Oord
Karen Simonyan
95
186
0
26 Jun 2018
Persistent Hidden States and Nonlinear Transformation for Long
  Short-Term Memory
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory
Heeyoul Choi
52
13
0
22 Jun 2018
Complex Gated Recurrent Neural Networks
Complex Gated Recurrent Neural Networks
Moritz Wolter
Angela Yao
AI4CE
90
65
0
21 Jun 2018
Deep Recurrent Neural Network for Multi-target Filtering
Deep Recurrent Neural Network for Multi-target Filtering
Mehryar Emambakhsh
Alessandro Bay
E. Vazquez
60
6
0
18 Jun 2018
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables
  Signal Propagation in Recurrent Neural Networks
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
Minmin Chen
Jeffrey Pennington
S. Schoenholz
SyDaAI4CE
67
117
0
14 Jun 2018
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural
  Networks
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks
George Philipp
J. Carbonell
66
14
0
01 Jun 2018
Understanding Batch Normalization
Understanding Batch Normalization
Johan Bjorck
Carla P. Gomes
B. Selman
Kilian Q. Weinberger
174
617
0
01 Jun 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive
  Definite Matrices
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Rudrasis Chakraborty
Chun-Hao Yang
Xingjian Zhen
Monami Banerjee
Derek B. Archer
David E Vaillancourt
Vikas Singh
B. Vemuri
62
38
0
29 May 2018
Stable Recurrent Models
Stable Recurrent Models
John Miller
Moritz Hardt
70
119
0
25 May 2018
Universal discriminative quantum neural networks
Universal discriminative quantum neural networks
Hongxiang Chen
Leonard Wossnig
Simone Severini
Hartmut Neven
Masoud Mohseni
64
80
0
22 May 2018
How Robust are Deep Neural Networks?
How Robust are Deep Neural Networks?
B. Sengupta
Karl J. Friston
OOD
77
34
0
30 Apr 2018
The unreasonable effectiveness of the forget gate
The unreasonable effectiveness of the forget gate
J. Westhuizen
Joan Lasenby
74
89
0
13 Apr 2018
Stabilizing Gradients for Deep Neural Networks via Efficient SVD
  Parameterization
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
Jiong Zhang
Qi Lei
Inderjit S. Dhillon
55
112
0
25 Mar 2018
Can recurrent neural networks warp time?
Can recurrent neural networks warp time?
Corentin Tallec
Yann Ollivier
CLLAI4CE
144
136
0
23 Mar 2018
Learning Long Term Dependencies via Fourier Recurrent Units
Learning Long Term Dependencies via Fourier Recurrent Units
Jiong Zhang
Yibo Lin
Zhao Song
Inderjit S. Dhillon
81
42
0
17 Mar 2018
ORGaNICs: A Theory of Working Memory in Brains and Machines
ORGaNICs: A Theory of Working Memory in Brains and Machines
D. Heeger
Wayne E. Mackey
79
7
0
16 Mar 2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and
  Deeper RNN
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
98
731
0
13 Mar 2018
The emergent algebraic structure of RNNs and embeddings in NLP
The emergent algebraic structure of RNNs and embeddings in NLP
Sean A. Cantrell
43
2
0
07 Mar 2018
How to Start Training: The Effect of Initialization and Architecture
How to Start Training: The Effect of Initialization and Architecture
Boris Hanin
David Rolnick
113
256
0
05 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
103
4,860
0
04 Mar 2018
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