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Self-Normalized Importance Sampling for Neural Language Modeling

Self-Normalized Importance Sampling for Neural Language Modeling

Zijian Yang
Yingbo Gao
Alexander Gerstenberger
Jintao Jiang
Ralf Schluter
Hermann Ney
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Papers citing "Self-Normalized Importance Sampling for Neural Language Modeling"

5 / 5 papers shown
Title
A Parallelizable Lattice Rescoring Strategy with Neural Language Models
A Parallelizable Lattice Rescoring Strategy with Neural Language Models
Ke Li
Daniel Povey
Sanjeev Khudanpur
25
16
0
08 Mar 2021
Cumulative Adaptation for BLSTM Acoustic Models
Cumulative Adaptation for BLSTM Acoustic Models
M. Kitza
Pavel Golik
Ralf Schluter
Hermann Ney
VLM
25
32
0
14 Jun 2019
Distributed Representations of Words and Phrases and their Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
302
33,445
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
557
31,406
0
16 Jan 2013
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
A. Mnih
Yee Whye Teh
103
578
0
27 Jun 2012

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