Smoothing and Shrinking the Sparse Seq2Seq Search Space

Smoothing and Shrinking the Sparse Seq2Seq Search Space

18 March 2021

André F. T. Martins

Papers citing "Smoothing and Shrinking the Sparse Seq2Seq Search Space"

9 / 9 papers shown

Title
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 88 0 0 22 Jan 2025
The Role of $n$ -gram Smoothing in the Age of Neural Networks Luca Malagutti Andrius Buinovskij Anej Svete Clara Meister Afra Amini Ryan Cotterell 43 6 0 25 Mar 2024
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition Darcey Riley David Chiang 23 5 0 19 Oct 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 33 109 0 31 Aug 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding Bowen Liang Pidong Wang Yuan Cao 24 1 0 02 May 2022
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation Bryan Eikema Wilker Aziz 28 45 0 10 Aug 2021
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,209 0 12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao Geoffrey Zweig 48 163 0 31 May 2015