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RNN Training along Locally Optimal Trajectories via Frank-Wolfe
  Algorithm
v1v2v3 (latest)

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm

12 October 2020
Yun Yue
Ming Li
Venkatesh Saligrama
Ziming Zhang
ArXiv (abs)PDFHTML

Papers citing "RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm"

16 / 16 papers shown
Title
Latent ODEs for Irregularly-Sampled Time Series
Latent ODEs for Irregularly-Sampled Time Series
Yulia Rubanova
Ricky T. Q. Chen
David Duvenaud
BDLAI4TS
84
259
0
08 Jul 2019
Why gradient clipping accelerates training: A theoretical justification
  for adaptivity
Why gradient clipping accelerates training: A theoretical justification for adaptivity
J.N. Zhang
Tianxing He
S. Sra
Ali Jadbabaie
78
467
0
28 May 2019
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
B. Chang
Minmin Chen
E. Haber
Ed H. Chi
PINNGNN
110
207
0
26 Feb 2019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Yi Zhou
Junjie Yang
Huishuai Zhang
Yingbin Liang
Vahid Tarokh
63
74
0
02 Jan 2019
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
429
5,157
0
19 Jun 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
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
Jordi Torres
Shih-Fu Chang
63
219
0
22 Aug 2017
Kronecker Recurrent Units
Kronecker Recurrent Units
C. Jose
Moustapha Cissé
François Fleuret
ODL
89
46
0
29 May 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
89
242
0
31 Jan 2017
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
93
129
0
01 Dec 2016
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
64
140
0
27 Jul 2016
Unitary Evolution Recurrent Neural Networks
Unitary Evolution Recurrent Neural Networks
Martín Arjovsky
Amar Shah
Yoshua Bengio
ODL
75
771
0
20 Nov 2015
Improving performance of recurrent neural network with relu nonlinearity
Improving performance of recurrent neural network with relu nonlinearity
S. Talathi
Aniket A. Vartak
ODL
60
88
0
12 Nov 2015
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
AI4CEAIMat
257
6,784
0
03 Sep 2014
How to Construct Deep Recurrent Neural Networks
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
119
1,009
0
20 Dec 2013
Advances in Optimizing Recurrent Networks
Advances in Optimizing Recurrent Networks
Yoshua Bengio
Nicolas Boulanger-Lewandowski
Razvan Pascanu
ODL
106
523
0
04 Dec 2012
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