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2104.02899
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Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
7 April 2021
A. Mali
Alexander Ororbia
Daniel Kifer
C. Lee Giles
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Papers citing
"Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units"
31 / 31 papers shown
Title
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack
A. Mali
Alexander Ororbia
Daniel Kifer
C. Lee Giles
31
13
0
04 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
580
42,677
0
03 Dec 2019
Deep Learning for Symbolic Mathematics
Guillaume Lample
François Charton
3DGS
131
414
0
02 Dec 2019
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
Mirac Suzgun
Sebastian Gehrmann
Yonatan Belinkov
Stuart M. Shieber
69
50
0
08 Nov 2019
Compositional Generalization with Tree Stack Memory Units
Forough Arabshahi
Zhichu Lu
Pranay Mundra
Sameer Singh
Anima Anandkumar
46
10
0
05 Nov 2019
The Neural State Pushdown Automata
A. Mali
Alexander Ororbia
C. Lee Giles
37
20
0
07 Sep 2019
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
162
339
0
22 Aug 2019
Theoretical Limitations of Self-Attention in Neural Sequence Models
Michael Hahn
74
275
0
16 Jun 2019
LSTM Networks Can Perform Dynamic Counting
Mirac Suzgun
Sebastian Gehrmann
Yonatan Belinkov
Stuart M. Shieber
76
75
0
09 Jun 2019
Analysing Mathematical Reasoning Abilities of Neural Models
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
LRM
212
431
0
02 Apr 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
Guillaume Rabusseau
Tianyu Li
Doina Precup
134
41
0
04 Jul 2018
Can Neural Networks Understand Logical Entailment?
Richard Evans
D. Saxton
David Amos
Pushmeet Kohli
Edward Grefenstette
NAI
188
128
0
23 Feb 2018
Graph Memory Networks for Molecular Activity Prediction
Trang Pham
T. Tran
Svetha Venkatesh
GNN
63
30
0
08 Jan 2018
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure
Dieuwke Hupkes
Sara Veldhoen
Willem H. Zuidema
86
280
0
28 Nov 2017
The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations
Guo-Zheng Sun
Colin Giles
Hsing-Hen Chen
Yee-Chun Lee
52
31
0
15 Nov 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
819
132,725
0
12 Jun 2017
Making Neural Programming Architectures Generalize via Recursion
Jonathon Cai
Richard Shin
Basel Alomair
AI4CE
LRM
84
147
0
21 Apr 2017
Tree Memory Networks for Modelling Long-term Temporal Dependencies
Tharindu Fernando
Simon Denman
A. Mcfadyen
Sridha Sridharan
Clinton Fookes
81
54
0
12 Mar 2017
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLL
NAI
104
99
0
04 Nov 2016
Multiplicative LSTM for sequence modelling
Ben Krause
Liang Lu
Iain Murray
Steve Renals
86
208
0
26 Sep 2016
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu
Saizheng Zhang
Yanzhe Zhang
Yoshua Bengio
Ruslan Salakhutdinov
74
156
0
21 Jun 2016
Neural Programmer-Interpreters
Scott E. Reed
Nando de Freitas
110
411
0
19 Nov 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
A. Kumar
Ozan Irsoy
Peter Ondruska
Mohit Iyyer
James Bradbury
Ishaan Gulrajani
Victor Zhong
Romain Paulus
R. Socher
129
1,182
0
24 Jun 2015
Learning to Transduce with Unbounded Memory
Edward Grefenstette
Karl Moritz Hermann
Mustafa Suleyman
Phil Blunsom
107
297
0
08 Jun 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin
Tomas Mikolov
TPM
146
412
0
03 Mar 2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
146
3,123
0
28 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
115
2,333
0
20 Oct 2014
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNN
KELM
164
1,709
0
15 Oct 2014
Learning to Discover Efficient Mathematical Identities
Wojciech Zaremba
Karol Kurach
Rob Fergus
97
54
0
06 Jun 2014
Can recursive neural tensor networks learn logical reasoning?
Samuel R. Bowman
NAI
84
44
0
21 Dec 2013
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