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A Formal Hierarchy of RNN Architectures

A Formal Hierarchy of RNN Architectures

18 April 2020
William Merrill
Gail Weiss
Yoav Goldberg
Roy Schwartz
Noah A. Smith
Eran Yahav
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Papers citing "A Formal Hierarchy of RNN Architectures"

22 / 22 papers shown
Title
NoPE: The Counting Power of Transformers with No Positional Encodings
NoPE: The Counting Power of Transformers with No Positional Encodings
Chris Köcher
Alexander Kozachinskiy
Anthony Widjaja Lin
Marco Sälzer
Georg Zetzsche
12
0
0
16 May 2025
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi
Julien N. Siems
Jörg Franke
Arber Zela
Frank Hutter
Massimiliano Pontil
96
11
0
19 Nov 2024
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
44
2
0
11 Nov 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
Franz Nowak
Anej Svete
Alexandra Butoi
Ryan Cotterell
ReLM
LRM
54
13
0
20 Jun 2024
A Tensor Decomposition Perspective on Second-order RNNs
A Tensor Decomposition Perspective on Second-order RNNs
M. Lizaire
Michael Rizvi-Martel
Marawan Gamal Abdel Hameed
Guillaume Rabusseau
55
0
0
07 Jun 2024
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
Nadav Borenstein
Anej Svete
R. Chan
Josef Valvoda
Franz Nowak
Isabelle Augenstein
Eleanor Chodroff
Ryan Cotterell
42
12
0
06 Jun 2024
On The Expressivity of Recurrent Neural Cascades
On The Expressivity of Recurrent Neural Cascades
Nadezda A. Knorozova
Alessandro Ronca
23
1
0
14 Dec 2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata
Recurrent Neural Language Models as Probabilistic Finite-state Automata
Anej Svete
Ryan Cotterell
42
2
0
08 Oct 2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text
  Classification
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification
Kuan-Yu Chen
Cheng Li
Kuo-Jung Lee
28
1
0
12 Jul 2023
Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by
  Discrete Fourier Transform of Output Sequences
Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by Discrete Fourier Transform of Output Sequences
Taiga Ishii
Ryo Ueda
Yusuke Miyao
24
0
0
16 May 2023
Modelling Concurrency Bugs Using Machine Learning
Modelling Concurrency Bugs Using Machine Learning
Teodor Rares Begu
18
0
0
08 May 2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long
  Sequences with Linear Recurrent Networks
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks
Nadine El-Naggar
Pranava Madhyastha
Tillman Weyde
22
1
0
07 Apr 2023
Exploring the Long-Term Generalization of Counting Behavior in RNNs
Exploring the Long-Term Generalization of Counting Behavior in RNNs
Nadine El-Naggar
Pranava Madhyastha
Tillman Weyde
21
5
0
29 Nov 2022
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
22
46
0
22 Nov 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Guixiang Ma
Vy A. Vo
Ted Willke
Nesreen Ahmed
40
1
0
22 Sep 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
Extracting Finite Automata from RNNs Using State Merging
Extracting Finite Automata from RNNs Using State Merging
William Merrill
Nikolaos Tsilivis
22
14
0
28 Jan 2022
Thinking Like Transformers
Thinking Like Transformers
Gail Weiss
Yoav Goldberg
Eran Yahav
AI4CE
35
128
0
13 Jun 2021
Formal Language Theory Meets Modern NLP
Formal Language Theory Meets Modern NLP
William Merrill
AI4CE
NAI
21
12
0
19 Feb 2021
Distillation of Weighted Automata from Recurrent Neural Networks using a
  Spectral Approach
Distillation of Weighted Automata from Recurrent Neural Networks using a Spectral Approach
Rémi Eyraud
Stéphane Ayache
24
16
0
28 Sep 2020
On the Computational Power of Transformers and its Implications in
  Sequence Modeling
On the Computational Power of Transformers and its Implications in Sequence Modeling
S. Bhattamishra
Arkil Patel
Navin Goyal
33
66
0
16 Jun 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
1