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An Empirical Investigation of Global and Local Normalization for
  Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search

15 April 2019
Kartik Goyal
Chris Dyer
Taylor Berg-Kirkpatrick
ArXivPDFHTML

Papers citing "An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search"

4 / 4 papers shown
Title
Global Normalization for Streaming Speech Recognition in a Modular
  Framework
Global Normalization for Streaming Speech Recognition in a Modular Framework
Ehsan Variani
Ke Wu
Michael Riley
David Rybach
Matt Shannon
Cyril Allauzen
15
9
0
26 May 2022
Distributionally Robust Models with Parametric Likelihood Ratios
Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel
Tatsunori Hashimoto
Graham Neubig
OOD
22
15
0
13 Apr 2022
Evaluating Distributional Distortion in Neural Language Modeling
Evaluating Distributional Distortion in Neural Language Modeling
Benjamin LeBrun
Alessandro Sordoni
Timothy J. O'Donnell
17
22
0
24 Mar 2022
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
178
598
0
22 Sep 2016
1