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MLE-guided parameter search for task loss minimization in neural
  sequence modeling

MLE-guided parameter search for task loss minimization in neural sequence modeling

4 June 2020
Sean Welleck
Kyunghyun Cho
ArXivPDFHTML

Papers citing "MLE-guided parameter search for task loss minimization in neural sequence modeling"

5 / 5 papers shown
Title
Reward Optimization for Neural Machine Translation with Learned Metrics
Reward Optimization for Neural Machine Translation with Learned Metrics
Raphael Shu
Kang Min Yoo
Jung-Woo Ha
32
12
0
15 Apr 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
298
1,610
0
18 Sep 2019
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
127
215
0
06 Nov 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
56
185
0
14 Nov 2017
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,208
0
12 Jun 2017
1