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Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

3 March 2015
Armand Joulin
Tomas Mikolov
    TPM
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Papers citing "Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets"

50 / 232 papers shown
Title
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural
  Computer Architecture
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture
Daniel Tanneberg
Elmar Rueckert
Jan Peters
4
3
0
30 Oct 2019
Ordered Memory
Ordered Memory
Songlin Yang
Shawn Tan
Seyedarian Hosseini
Zhouhan Lin
Alessandro Sordoni
Aaron Courville
21
23
0
29 Oct 2019
Neural Program Synthesis By Self-Learning
Neural Program Synthesis By Self-Learning
Yifan Xu
Luke Dai
Udaikaran Singh
Kening Zhang
Zhuowen Tu
13
6
0
13 Oct 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
The Neural State Pushdown Automata
The Neural State Pushdown Automata
A. Mali
Alexander Ororbia
C. Lee Giles
6
20
0
07 Sep 2019
PaccMann$^{RL}$: Designing anticancer drugs from transcriptomic data via
  reinforcement learning
PaccMannRL^{RL}RL: Designing anticancer drugs from transcriptomic data via reinforcement learning
Jannis Born
Matteo Manica
Ali Oskooei
Joris Cadow
Karsten Borgwardt
María Rodríguez Martínez
29
0
0
29 Aug 2019
Large Memory Layers with Product Keys
Large Memory Layers with Product Keys
Guillaume Lample
Alexandre Sablayrolles
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
MoE
33
131
0
10 Jul 2019
Understanding Memory Modules on Learning Simple Algorithms
Understanding Memory Modules on Learning Simple Algorithms
Kexin Wang
Yu Zhou
Shaonan Wang
Jiajun Zhang
Chengqing Zong
34
0
0
01 Jul 2019
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory
  Network
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
Zhangheng Li
Jia-Xing Zhong
Jingjia Huang
Tao Zhang
Thomas H. Li
Ge Li
25
2
0
28 Jun 2019
Multigrid Neural Memory
Multigrid Neural Memory
T. Huynh
Michael Maire
Matthew R. Walter
11
9
0
13 Jun 2019
LSTM Networks Can Perform Dynamic Counting
LSTM Networks Can Perform Dynamic Counting
Mirac Suzgun
Sebastian Gehrmann
Yonatan Belinkov
Stuart M. Shieber
16
74
0
09 Jun 2019
Finding Syntactic Representations in Neural Stacks
Finding Syntactic Representations in Neural Stacks
William Merrill
Lenny Khazan
Noah Amsel
Sophie Hao
S. Mendelsohn
Robert Frank
19
6
0
04 Jun 2019
Recursive Sketches for Modular Deep Learning
Recursive Sketches for Modular Deep Learning
Badih Ghazi
Rina Panigrahy
Joshua R. Wang
15
20
0
29 May 2019
Better Long-Range Dependency By Bootstrapping A Mutual Information
  Regularizer
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
Yanshuai Cao
Peng Xu
17
2
0
28 May 2019
Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time
  Series
Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series
Zahra Ebrahimzadeh
Min Zheng
Selcuk Karakas
Samantha Kleinberg
AI4TS
27
8
0
16 May 2019
What do Entity-Centric Models Learn? Insights from Entity Linking in
  Multi-Party Dialogue
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue
Laura Aina
Carina Silberer
M. Westera
Ionut-Teodor Sorodoc
Gemma Boleda
14
9
0
16 May 2019
Mutual Information Scaling and Expressive Power of Sequence Models
Mutual Information Scaling and Expressive Power of Sequence Models
Huitao Shen
17
18
0
10 May 2019
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Yuan. Yuan
Dong Wang
Qi. Wang
30
13
0
30 Apr 2019
Advances in Natural Language Question Answering: A Review
Advances in Natural Language Question Answering: A Review
K. S. D. Ishwari
A. K. R. R. Aneeze
S. Sudheesan
H. J. D. A. Karunaratne
A. Nugaliyadde
Y. Mallawarachchi
17
17
0
10 Apr 2019
Analysing Mathematical Reasoning Abilities of Neural Models
Analysing Mathematical Reasoning Abilities of Neural Models
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
LRM
39
418
0
02 Apr 2019
Cooperative Learning of Disjoint Syntax and Semantics
Cooperative Learning of Disjoint Syntax and Semantics
Serhii Havrylov
Germán Kruszewski
Armand Joulin
18
48
0
25 Feb 2019
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
15
140
0
10 Jan 2019
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
14
57
0
06 Nov 2018
Counting in Language with RNNs
He Fun
Sergiy V. Bokhnyak
Francesco Saverio Zuppichini
18
0
0
29 Oct 2018
Ordered Neurons: Integrating Tree Structures into Recurrent Neural
  Networks
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Songlin Yang
Shawn Tan
Alessandro Sordoni
Aaron Courville
32
323
0
22 Oct 2018
Learning to Remember, Forget and Ignore using Attention Control in
  Memory
Learning to Remember, Forget and Ignore using Attention Control in Memory
T. S. Jayram
Younes Bouhadjar
Ryan L. McAvoy
Tomasz Kornuta
Alexis Asseman
K. Rocki
A. Ozcan
CLL
9
5
0
28 Sep 2018
Using Multi-task and Transfer Learning to Solve Working Memory Tasks
Using Multi-task and Transfer Learning to Solve Working Memory Tasks
T. S. Jayram
Tomasz Kornuta
Ryan L. McAvoy
A. Ozcan
RALM
6
0
0
28 Sep 2018
On learning an interpreted language with recurrent models
On learning an interpreted language with recurrent models
Denis Paperno
19
4
0
11 Sep 2018
How clever is the FiLM model, and how clever can it be?
How clever is the FiLM model, and how clever can it be?
A. Kuhnle
Huiyuan Xie
Ann A. Copestake
30
6
0
09 Sep 2018
Context-Free Transductions with Neural Stacks
Context-Free Transductions with Neural Stacks
Sophie Hao
William Merrill
Dana Angluin
Robert Frank
Noah Amsel
Andrew Benz
S. Mendelsohn
GNN
19
38
0
08 Sep 2018
Operations Guided Neural Networks for High Fidelity Data-To-Text
  Generation
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie
Jinpeng Wang
Jin-ge Yao
Rong Pan
Chin-Yew Lin
38
22
0
08 Sep 2018
Character-Level Language Modeling with Deeper Self-Attention
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou
Dokook Choe
Noah Constant
Mandy Guo
Llion Jones
33
387
0
09 Aug 2018
Inductive Visual Localisation: Factorised Training for Superior
  Generalisation
Inductive Visual Localisation: Factorised Training for Superior Generalisation
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
19
2
0
21 Jul 2018
Neural Networks Regularization Through Representation Learning
Neural Networks Regularization Through Representation Learning
Soufiane Belharbi
OOD
SSL
30
2
0
13 Jul 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas Griffiths
26
68
0
12 Jul 2018
Universal Transformers
Universal Transformers
Mostafa Dehghani
Stephan Gouws
Oriol Vinyals
Jakob Uszkoreit
Lukasz Kaiser
37
745
0
10 Jul 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
121
3,087
0
04 Jun 2018
Integrating Episodic Memory into a Reinforcement Learning Agent using
  Reservoir Sampling
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling
Kenny Young
R. Sutton
Shuo Yang
17
10
0
01 Jun 2018
Text normalization using memory augmented neural networks
Text normalization using memory augmented neural networks
Subhojeet Pramanik
A. Hussain
6
29
0
31 May 2018
Number Sequence Prediction Problems for Evaluating Computational Powers
  of Neural Networks
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
Hyoungwook Nam
Segwang Kim
Kyomin Jung
AIMat
26
15
0
19 May 2018
Leveraging Grammar and Reinforcement Learning for Neural Program
  Synthesis
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel
Matthew J. Hausknecht
Jacob Devlin
Rishabh Singh
Pushmeet Kohli
NAI
29
217
0
11 May 2018
A Taxonomy for Neural Memory Networks
A Taxonomy for Neural Memory Networks
Ying Ma
José C. Príncipe
30
21
0
01 May 2018
Programmatically Interpretable Reinforcement Learning
Programmatically Interpretable Reinforcement Learning
Abhinav Verma
V. Murali
Rishabh Singh
Pushmeet Kohli
Swarat Chaudhuri
17
345
0
06 Apr 2018
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer
Joseph Suárez
Justin Johnson
Fei-Fei Li
LRM
16
32
0
30 Mar 2018
A Dataset and Architecture for Visual Reasoning with a Working Memory
A Dataset and Architecture for Visual Reasoning with a Working Memory
G. R. Yang
Igor Ganichev
Xiao-Jing Wang
Jonathon Shlens
David Sussillo
14
54
0
16 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena
David Belanger
Scott W. Linderman
Jasper Snoek
57
264
0
23 Feb 2018
Can Neural Networks Understand Logical Entailment?
Can Neural Networks Understand Logical Entailment?
Richard Evans
D. Saxton
David Amos
Pushmeet Kohli
Edward Grefenstette
NAI
29
127
0
23 Feb 2018
Neural Program Search: Solving Programming Tasks from Description and
  Examples
Neural Program Search: Solving Programming Tasks from Description and Examples
Illia Polosukhin
Alexander Skidanov
NAI
24
59
0
12 Feb 2018
Nested LSTMs
Nested LSTMs
Joel Ruben Antony Moniz
David M. Krueger
32
68
0
31 Jan 2018
Neural Program Synthesis with Priority Queue Training
Neural Program Synthesis with Priority Queue Training
Daniel A. Abolafia
Mohammad Norouzi
Jonathan Shen
Rui Zhao
Quoc V. Le
20
69
0
10 Jan 2018
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