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Extensions and Limitations of the Neural GPU

Extensions and Limitations of the Neural GPU

2 November 2016
Eric Price
Wojciech Zaremba
Ilya Sutskever
ArXivPDFHTML

Papers citing "Extensions and Limitations of the Neural GPU"

7 / 7 papers shown
Title
Transformers discover an elementary calculation system exploiting local
  attention and grid-like problem representation
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation
Samuel Cognolato
Alberto Testolin
44
7
0
06 Jul 2022
Neural Networks and the Chomsky Hierarchy
Neural Networks and the Chomsky Hierarchy
Grégoire Delétang
Anian Ruoss
Jordi Grau-Moya
Tim Genewein
L. Wenliang
...
Chris Cundy
Marcus Hutter
Shane Legg
Joel Veness
Pedro A. Ortega
UQCV
109
133
0
05 Jul 2022
Investigating the Limitations of Transformers with Simple Arithmetic
  Tasks
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Li
LRM
24
123
0
25 Feb 2021
Progress Extrapolating Algorithmic Learning to Arbitrary Sequence
  Lengths
Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths
Andreas Robinson
42
0
0
18 Mar 2020
On the Turing Completeness of Modern Neural Network Architectures
On the Turing Completeness of Modern Neural Network Architectures
Jorge A. Pérez
Javier Marinkovic
Pablo Barceló
BDL
23
140
0
10 Jan 2019
Improving the Neural GPU Architecture for Algorithm Learning
Improving the Neural GPU Architecture for Algorithm Learning
Kārlis Freivalds
Renars Liepins
25
43
0
28 Feb 2017
Learning Efficient Algorithms with Hierarchical Attentive Memory
Learning Efficient Algorithms with Hierarchical Attentive Memory
Marcin Andrychowicz
Karol Kurach
41
51
0
09 Feb 2016
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