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Neural Sequence-to-grid Module for Learning Symbolic Rules
v1v2 (latest)

Neural Sequence-to-grid Module for Learning Symbolic Rules

AAAI Conference on Artificial Intelligence (AAAI), 2021
13 January 2021
Segwang Kim
Hyoungwook Nam
Joonyoung Kim
Kyomin Jung
    NAI
ArXiv (abs)PDFHTML

Papers citing "Neural Sequence-to-grid Module for Learning Symbolic Rules"

5 / 5 papers shown
Can neural networks do arithmetic? A survey on the elementary numerical
  skills of state-of-the-art deep learning models
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning modelsApplied Sciences (Appl. Sci.), 2023
Alberto Testolin
AIMat
266
29
0
14 Mar 2023
Neural Attention Memory
Neural Attention Memory
Hyoungwook Nam
S. Seo
HAI
216
2
0
18 Feb 2023
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 representationIEEE International Joint Conference on Neural Network (IJCNN), 2022
Samuel Cognolato
Alberto Testolin
160
8
0
06 Jul 2022
A comparison of LSTM and GRU networks for learning symbolic sequences
A comparison of LSTM and GRU networks for learning symbolic sequences
Roberto Cahuantzi
Xinye Chen
S. Güttel
264
202
0
05 Jul 2021
Neural Status Registers
Neural Status RegistersInternational Conference on Machine Learning (ICML), 2020
Lukas Faber
Roger Wattenhofer
185
9
0
15 Apr 2020
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