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

15 April 2019

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

6 / 6 papers shown

Title
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding Jianhao Yan Jin Xu Fandong Meng Jie Zhou Yue Zhang 24 3 0 08 Dec 2022
Global Normalization for Streaming Speech Recognition in a Modular Framework Ehsan Variani Ke Wu Michael Riley David Rybach Matt Shannon Cyril Allauzen 20 9 0 26 May 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 30 15 0 13 Apr 2022
Evaluating Distributional Distortion in Neural Language Modeling Benjamin LeBrun Alessandro Sordoni Timothy J. O'Donnell 22 22 0 24 Mar 2022
Unsupervised Text Generation by Learning from Search Jingjing Li Zichao Li Lili Mou Xin Jiang Michael R. Lyu Irwin King 27 55 0 09 Jul 2020
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 601 0 22 Sep 2016