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. 1707.09520
  4. Cited By
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform

Orthogonal Recurrent Neural Networks with Scaled Cayley Transform

29 July 2017
Kyle E. Helfrich
Devin Willmott
Qiang Ye
ArXivPDFHTML

Papers citing "Orthogonal Recurrent Neural Networks with Scaled Cayley Transform"

14 / 14 papers shown
Title
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino
F. Tonin
Yongtao Wu
Frank Zhengqing Wu
Leyla Naz Candogan
Volkan Cevher
MQ
136
5
0
07 Mar 2025
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
Armand Foucault
Franck Mamalet
François Malgouyres
MQ
154
0
0
28 Jan 2025
Gated Orthogonal Recurrent Units: On Learning to Forget
Gated Orthogonal Recurrent Units: On Learning to Forget
Li Jing
Çağlar Gülçehre
J. Peurifoy
Yichen Shen
Max Tegmark
Marin Soljacic
Yoshua Bengio
59
126
0
08 Jun 2017
On orthogonality and learning recurrent networks with long term
  dependencies
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov
C. Trabelsi
Samuel Kadoury
C. Pal
ODL
70
239
0
31 Jan 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application
  to RNNs
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing
Yichen Shen
T. Dubček
J. Peurifoy
S. Skirlo
Yann LeCun
Max Tegmark
Marin Soljacic
62
177
0
15 Dec 2016
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
77
129
0
01 Dec 2016
Full-Capacity Unitary Recurrent Neural Networks
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom
Thomas Powers
J. Hershey
Jonathan Le Roux
L. Atlas
38
292
0
31 Oct 2016
Learning Unitary Operators with Help From u(n)
Learning Unitary Operators with Help From u(n)
Stephanie L. Hyland
Gunnar Rätsch
113
42
0
17 Jul 2016
Recurrent Orthogonal Networks and Long-Memory Tasks
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff
Arthur Szlam
Yann LeCun
52
131
0
22 Feb 2016
Unitary Evolution Recurrent Neural Networks
Unitary Evolution Recurrent Neural Networks
Martín Arjovsky
Amar Shah
Yoshua Bengio
ODL
53
769
0
20 Nov 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le
Navdeep Jaitly
Geoffrey E. Hinton
ODL
63
717
0
03 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
178
6,760
0
03 Sep 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
148
5,318
0
21 Nov 2012
1