Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

3 March 2015

Papers citing "Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets"

50 / 232 papers shown

Title
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks Brian DuSell David Chiang BDL 26 14 0 05 Sep 2021
$$\infty$-former: Infinite Memory Transformer$ $\infty$ -former: Infinite Memory Transformer Pedro Henrique Martins Zita Marinho André F. T. Martins 36 11 0 01 Sep 2021
pix2rule: End-to-end Neuro-symbolic Rule Learning Nuri Cingillioglu A. Russo NAI 31 9 0 14 Jun 2021
Thinking Like Transformers Gail Weiss Yoav Goldberg Eran Yahav AI4CE 35 128 0 13 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 42 100 0 09 Jun 2021
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers Daniel Tanneberg Elmar Rueckert Jan Peters 38 6 0 17 May 2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units A. Mali Alexander Ororbia Daniel Kifer C. Lee Giles 14 16 0 07 Apr 2021
Attention, please! A survey of Neural Attention Models in Deep Learning Alana de Santana Correia Esther Luna Colombini HAI 23 175 0 31 Mar 2021
PAC-learning gains of Turing machines over circuits and neural networks Brieuc Pinon Raphaël Jungers Jean-Charles Delvenne AI4CE 21 1 0 23 Mar 2021
Investigating the Limitations of Transformers with Simple Arithmetic Tasks Rodrigo Nogueira Zhiying Jiang Jimmy J. Li LRM 24 123 0 25 Feb 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules Segwang Kim Hyoungwook Nam Joonyoung Kim Kyomin Jung NAI 72 11 0 13 Jan 2021
Can RNNs learn Recursive Nested Subject-Verb Agreements? Yair Lakretz T. Desbordes J. King Benoît Crabbé Maxime Oquab S. Dehaene 160 19 0 06 Jan 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 233 255 0 09 Dec 2020
SuperCoder: Program Learning Under Noisy Conditions From Superposition of States A. Davody M. Safari Ruazvan V. Florian 23 0 0 07 Dec 2020
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages S. Bhattamishra Kabir Ahuja Navin Goyal ReLM 16 12 0 08 Nov 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks David Bieber Charles Sutton Hugo Larochelle Daniel Tarlow GNN 27 43 0 23 Oct 2020
RNNs can generate bounded hierarchical languages with optimal memory John Hewitt Michael Hahn Surya Ganguli Percy Liang Christopher D. Manning LRM 13 50 0 15 Oct 2020
Learning Context-Free Languages with Nondeterministic Stack RNNs Brian DuSell David Chiang 19 13 0 09 Oct 2020
The act of remembering: a study in partially observable reinforcement learning Rodrigo Toro Icarte Richard Valenzano Toryn Q. Klassen Phillip J. K. Christoffersen Amir-massoud Farahmand Sheila A. McIlraith OffRL 11 10 0 05 Oct 2020
A Survey on Semantic Parsing from the perspective of Compositionality Pawan Kumar Srikanta J. Bedathur CoGe 25 2 0 29 Sep 2020
It's Hard for Neural Networks To Learn the Game of Life Jacob Mitchell Springer Garrett Kenyon 27 21 0 03 Sep 2020
Compositional Generalization via Neural-Symbolic Stack Machines Xinyun Chen Chen Liang Adams Wei Yu D. Song Denny Zhou BDL 14 99 0 15 Aug 2020
Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules Brighter Agyemang Wei-Ping Wu Daniel Addo Michael Y. Kpiebaareh Ebenezer Nanor C. R. Haruna 25 7 0 24 Jul 2020
Motion Planning for Heterogeneous Unmanned Systems under Partial Observation from UAV Ci Chen Yuanfang Wan Baowei Li Chen Wang Guangming Xie Huanyu Jiang 14 6 0 19 Jul 2020
Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini Sebastian Riedel Pontus Stenetorp Edward Grefenstette Tim Rocktaschel LRM 45 96 0 13 Jul 2020
Strong Generalization and Efficiency in Neural Programs Yujia Li Felix Gimeno Pushmeet Kohli Oriol Vinyals 27 17 0 07 Jul 2020
Memory Transformer Andrey Kravchenko Yuri Kuratov Anton Peganov Grigory V. Sapunov RALM 23 64 0 20 Jun 2020
I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths Hyoungwook Nam S. Seo Vikram Sharma Malithody Noor Michael Lang Li 24 1 0 18 Jun 2020
Neural Execution Engines: Learning to Execute Subroutines Yujun Yan Kevin Swersky Danai Koutra Parthasarathy Ranganathan Milad Hashemi NAI 16 40 0 15 Jun 2020
A provably stable neural network Turing Machine J. Stogin A. Mali L. Giles 6 6 0 05 Jun 2020
A Survey of Neural Networks and Formal Languages Joshua Ackerman G. Cybenko AI4CE 19 18 0 02 Jun 2020
$PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models$ PaccMann $^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models Jannis Born Matteo Manica Joris Cadow Greta Markert N. Mill Modestas Filipavicius María Rodríguez Martínez 39 4 0 27 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 32 83 0 18 May 2020
Augmenting Transformers with KNN-Based Composite Memory for Dialogue Angela Fan Claire Gardent Chloé Braud Antoine Bordes RALM 47 75 0 27 Apr 2020
Joint translation and unit conversion for end-to-end localization Georgiana Dinu Prashant Mathur Marcello Federico Stanislas Lauly Yaser Al-Onaizan 23 3 0 10 Apr 2020
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences Andis Draguns Emīls Ozoliņš A. Sostaks Matiss Apinis Kārlis Freivalds 19 8 0 06 Apr 2020
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack A. Mali Alexander Ororbia Daniel Kifer C. Lee Giles 11 13 0 04 Apr 2020
Towards Better Opioid Antagonists Using Deep Reinforcement Learning Jianyuan Deng Zhibo Yang Yao Li Dimitris Samaras Fusheng Wang 21 7 0 26 Mar 2020
Addressing Some Limitations of Transformers with Feedback Memory Angela Fan Thibaut Lavril Edouard Grave Armand Joulin Sainbayar Sukhbaatar 26 11 0 21 Feb 2020
A Data Efficient End-To-End Spoken Language Understanding Architecture Marco Dinarelli Nikita Kapoor Bassam Jabaian Laurent Besacier 3DV 17 20 0 14 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 64 152 0 13 Feb 2020
Grammar Filtering For Syntax-Guided Synthesis K. Morton William T. Hallahan Elven Shum R. Piskac Mark Santolucito 33 10 0 07 Feb 2020
Encoding-based Memory Modules for Recurrent Neural Networks Antonio Carta A. Sperduti D. Bacciu KELM 12 2 0 31 Jan 2020
Hierarchical Variational Imitation Learning of Control Programs Roy Fox Richard Shin William Paul Yitian Zou D. Song Ken Goldberg Pieter Abbeel Ion Stoica BDL 22 4 0 29 Dec 2019
Synthetic Datasets for Neural Program Synthesis Richard Shin Neel Kant Kavi Gupta Christopher M. Bender Brandon Trabucco Rishabh Singh D. Song NAI 18 45 0 27 Dec 2019
Neural Shape Parsers for Constructive Solid Geometry Gopal Sharma Rishabh Goyal Difan Liu E. Kalogerakis Subhransu Maji 3DPC 3DV 27 28 0 22 Dec 2019
Differentiable Reasoning on Large Knowledge Bases and Natural Language Pasquale Minervini Matko Bovsnjak Tim Rocktaschel Sebastian Riedel Edward Grefenstette LRM 24 88 0 17 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 28 313 0 04 Dec 2019
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages Mirac Suzgun Sebastian Gehrmann Yonatan Belinkov Stuart M. Shieber 32 50 0 08 Nov 2019
Compositional Generalization with Tree Stack Memory Units Forough Arabshahi Zhichu Lu Pranay Mundra Sameer Singh Anima Anandkumar 14 10 0 05 Nov 2019