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MLRegTest: A Benchmark for the Machine Learning of Regular Languages
v1v2 (latest)

MLRegTest: A Benchmark for the Machine Learning of Regular Languages

16 April 2023
Sam van der Poel
D. Lambert
Kalina Kostyszyn
Tiantian Gao
Rahul Verma
Derek Andersen
Joanne Chau
Emily Peterson
C. S. Clair
Paul Fodor
Chihiro Shibata
Jeffrey Heinz
    ELM
ArXiv (abs)PDFHTML

Papers citing "MLRegTest: A Benchmark for the Machine Learning of Regular Languages"

5 / 5 papers shown
Title
Training Neural Networks as Recognizers of Formal Languages
Training Neural Networks as Recognizers of Formal Languages
Alexandra Butoi
Ghazal Khalighinejad
Anej Svete
Josef Valvoda
Ryan Cotterell
Brian DuSell
NAI
94
7
0
11 Nov 2024
Simplicity Bias in Transformers and their Ability to Learn Sparse
  Boolean Functions
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
S. Bhattamishra
Arkil Patel
Varun Kanade
Phil Blunsom
84
48
0
22 Nov 2022
Connecting Weighted Automata, Tensor Networks and Recurrent Neural
  Networks through Spectral Learning
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
Tianyu Li
Doina Precup
Guillaume Rabusseau
50
8
0
19 Oct 2020
Evaluating the Ability of LSTMs to Learn Context-Free Grammars
Evaluating the Ability of LSTMs to Learn Context-Free Grammars
Luzi Sennhauser
Robert C. Berwick
91
57
0
06 Nov 2018
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
246
16,373
0
30 Apr 2014
1