Neural GPUs Learn Algorithms

25 November 2015

Papers citing "Neural GPUs Learn Algorithms"

30 / 80 papers shown

Title
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
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 37 742 0 10 Jul 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement Jason D. Lee Elman Mansimov Kyunghyun Cho DiffM BDL 33 455 0 19 Feb 2018
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 68 478 0 13 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 19 193 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
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin D. Song AI4CE LRM 21 146 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 27 255 0 03 Apr 2017
Deep Reservoir Computing Using Cellular Automata Stefano Nichele Andreas Molund 16 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 32 20 0 08 Nov 2016
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 18 566 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 49 404 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 24 2,319 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 16 228 0 14 Jun 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 47 1,137 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 22 753 0 04 Mar 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 36 405 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 54 1,175 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 236 7,906 0 13 Jun 2015