Neural GPUs Learn Algorithms

25 November 2015

Papers citing "Neural GPUs Learn Algorithms"

47 / 97 papers shown

Title
Grammar Filtering For Syntax-Guided Synthesis K. Morton William T. Hallahan Elven Shum R. Piskac Mark Santolucito 36 10 0 07 Feb 2020
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
Synthetic Data for Deep Learning Sergey I. Nikolenko 48 349 0 25 Sep 2019
On Defending Against Label Flipping Attacks on Malware Detection Systems R. Taheri R. Javidan Mohammad Shojafar Zahra Pooranian A. Miri Mauro Conti AAML 21 88 0 13 Aug 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 29 15 0 30 May 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 41 41 0 30 May 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 33 113 0 04 Apr 2019
Analysing Mathematical Reasoning Abilities of Neural Models D. Saxton Edward Grefenstette Felix Hill Pushmeet Kohli LRM 39 418 0 02 Apr 2019
On the Turing Completeness of Modern Neural Network Architectures Jorge A. Pérez Javier Marinkovic Pablo Barceló BDL 23 140 0 10 Jan 2019
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation Fandong Meng Jinchao Zhang AI4CE 32 44 0 19 Dec 2018
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 27 114 0 19 Oct 2018
Pedestrian Trajectory Prediction with Structured Memory Hierarchies Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes 19 18 0 22 Jul 2018
Towards Neural Theorem Proving at Scale Pasquale Minervini Matko Bosnjak Tim Rocktaschel Sebastian Riedel LRM NAI 24 38 0 21 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 29 116 0 21 Jul 2018
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 Mostafa Dehghani Stephan Gouws Oriol Vinyals Jakob Uszkoreit Lukasz Kaiser 37 745 0 10 Jul 2018
NAPS: Natural Program Synthesis Dataset Maksym Zavershynskyi Alexander Skidanov Illia Polosukhin ReCod 28 36 0 06 Jul 2018
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
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement Jason D. Lee Elman Mansimov Kyunghyun Cho DiffM BDL 42 455 0 19 Feb 2018
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 73 479 0 13 Nov 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning Zhen He Shaobing Gao Liang Xiao Daxue Liu Hangen He David Barber AIMat 37 64 0 05 Nov 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu Suraj Nair Yuke Zhu J. Gao Animesh Garg Li Fei-Fei Silvio Savarese 25 193 0 04 Oct 2017
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 41 237 0 19 Jun 2017
Towards Synthesizing Complex Programs from Input-Output Examples Xinyun Chen Chang-rui Liu D. Song NAI 21 11 0 05 Jun 2017
Inferring and Executing Programs for Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Judy Hoffman Li Fei-Fei C. L. Zitnick Ross B. Girshick NAI 35 541 0 10 May 2017
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin D. Song AI4CE LRM 32 146 0 21 Apr 2017
Online and Linear-Time Attention by Enforcing Monotonic Alignments Colin Raffel Minh-Thang Luong Peter J. Liu Ron J. Weiss Douglas Eck 35 255 0 03 Apr 2017
Deep Reservoir Computing Using Cellular Automata Stefano Nichele Andreas Molund 22 27 0 08 Mar 2017
Improving the Neural GPU Architecture for Algorithm Learning Kārlis Freivalds Renars Liepins 25 43 0 28 Feb 2017
An Architecture for Deep, Hierarchical Generative Models Philip Bachman AI4CE BDL 33 53 0 08 Dec 2016
Divide and Conquer Networks Alex W. Nowak David Folqué Joan Bruna 36 20 0 08 Nov 2016
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 36 567 0 07 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis Pankajan Chanthirasegaran Pushmeet Kohli Charles Sutton CLL NAI 31 99 0 04 Nov 2016
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision Chen Liang Jonathan Berant Quoc V. Le Kenneth D. Forbus Ni Lao NAI 55 404 0 31 Oct 2016
TerpreT: A Probabilistic Programming Language for Program Induction Alexander L. Gaunt Marc Brockschmidt Rishabh Singh Nate Kushman Pushmeet Kohli Jonathan Taylor Daniel Tarlow 35 123 0 15 Aug 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 83 2,324 0 21 Jun 2016
DeepMath - Deep Sequence Models for Premise Selection Alexander A. Alemi François Chollet N. Eén G. Irving Christian Szegedy Josef Urban LRM AIMat 27 228 0 14 Jun 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 79 1,138 0 25 May 2016
Programming with a Differentiable Forth Interpreter Matko Bosnjak Tim Rocktaschel Jason Naradowsky Sebastian Riedel 17 148 0 21 May 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 30 254 0 16 Mar 2016
Dynamic Memory Networks for Visual and Textual Question Answering Caiming Xiong Stephen Merity R. Socher 34 753 0 04 Mar 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory Marcin Andrychowicz Karol Kurach 41 51 0 09 Feb 2016
Adding Gradient Noise Improves Learning for Very Deep Networks Arvind Neelakantan Luke Vilnis Quoc V. Le Ilya Sutskever Lukasz Kaiser Karol Kurach James Martens AI4CE ODL 27 541 0 21 Nov 2015
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 42 405 0 19 Nov 2015
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 51 1,062 0 09 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 54 1,176 0 24 Jun 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015