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A Fast and Simple Algorithm for Training Neural Probabilistic Language
  Models

A Fast and Simple Algorithm for Training Neural Probabilistic Language Models

27 June 2012
A. Mnih
Yee Whye Teh
ArXivPDFHTML

Papers citing "A Fast and Simple Algorithm for Training Neural Probabilistic Language Models"

5 / 5 papers shown
Title
From Small to Large Language Models: Revisiting the Federalist Papers
From Small to Large Language Models: Revisiting the Federalist Papers
So Won Jeong
Veronika Rockova
179
0
0
25 Feb 2025
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Xinyu Zhang
Wenjie Qiu
Yi-Chen Li
Lei Yuan
Chengxing Jia
Zongzhang Zhang
Yang Yu
OffRL
84
1
0
17 Feb 2024
Predictively Encoded Graph Convolutional Network for Noise-Robust
  Skeleton-based Action Recognition
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
Jongmin Yu
Yongsang Yoon
M. Jeon
176
46
0
17 Mar 2020
Simultaneous Learning of Trees and Representations for Extreme
  Classification and Density Estimation
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
Yacine Jernite
A. Choromańska
David Sontag
141
36
0
14 Oct 2016
A Family of Computationally Efficient and Simple Estimators for
  Unnormalized Statistical Models
A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models
Miika Pihlaja
Michael U. Gutmann
Aapo Hyvarinen
74
44
0
15 Mar 2012
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