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Very Deep Multilingual Convolutional Neural Networks for LVCSR
v1v2 (latest)

Very Deep Multilingual Convolutional Neural Networks for LVCSR

29 September 2015
Tom Sercu
Christian Puhrsch
Brian Kingsbury
Yann LeCun
ArXiv (abs)PDFHTML

Papers citing "Very Deep Multilingual Convolutional Neural Networks for LVCSR"

11 / 11 papers shown
Title
Shrinkage Initialization for Smooth Learning of Neural Networks
Shrinkage Initialization for Smooth Learning of Neural Networks
Miao Cheng
Feiyan Zhou
Hongwei Zou
Limin Wang
AI4CE
69
0
0
12 Apr 2025
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
118
344
0
01 Oct 2016
Asynchronous Stochastic Gradient Descent with Delay Compensation
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng
Qi Meng
Taifeng Wang
Wei Chen
Nenghai Yu
Zhiming Ma
Tie-Yan Liu
133
315
0
27 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
755
37,925
0
20 May 2016
The IBM 2015 English Conversational Telephone Speech Recognition System
The IBM 2015 English Conversational Telephone Speech Recognition System
G. Saon
H. Kuo
Steven J. Rennie
M. Picheny
64
129
0
21 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE3DPC3DV
248
4,066
0
09 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
158
5,008
0
21 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
295
26,223
0
11 Nov 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
165
6,635
0
22 Dec 2012
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
P. Sermanet
Koray Kavukcuoglu
Soumith Chintala
Yann LeCun
SSL
102
828
0
01 Dec 2012
1