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RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine
  Translation

RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation

1 March 2022
Yidan Zhang
Boyi Deng
Dayiheng Liu
Baosong Yang
Zhenan He
ArXivPDFHTML

Papers citing "RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation"

4 / 4 papers shown
Title
A Simple Baseline for Beam Search Reranking
A Simple Baseline for Beam Search Reranking
Lior Vassertail
Omer Levy
23
0
0
17 Dec 2022
A Theoretical Analysis of the Repetition Problem in Text Generation
A Theoretical Analysis of the Repetition Problem in Text Generation
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
77
90
0
29 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1