Neural Programmer-Interpreters

19 November 2015

Papers citing "Neural Programmer-Interpreters"

47 / 97 papers shown

Title
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
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 27 96 0 08 May 2019
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators Jianan Li Jimei Yang Aaron Hertzmann Jianming Zhang Tingfa Xu GAN 15 226 0 21 Jan 2019
Neural network gradient-based learning of black-box function interfaces Alon Jacovi Guy Hadash Einat Kermany Boaz Carmeli Ofer Lavi George Kour Jonathan Berant 18 13 0 13 Jan 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio ELM 33 232 0 18 Oct 2018
Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang Gregory Rosenblatt Ethan Fetaya Renjie Liao William E. Byrd M. Might R. Urtasun R. Zemel NAI 11 30 0 08 Sep 2018
Neural Arithmetic Logic Units Andrew Trask Felix Hill Scott E. Reed Jack W. Rae Chris Dyer Phil Blunsom NAI 24 203 0 01 Aug 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 24 116 0 21 Jul 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing Dongdong She Kexin Pei Dave Epstein Junfeng Yang Baishakhi Ray Suman Jana 25 185 0 15 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
Neural Machine Translation for Query Construction and Composition Tommaso Soru Edgard Marx André Valdestilhas Diego Esteves Diego Moussallem G. Publio 16 22 0 27 Jun 2018
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 3,083 0 04 Jun 2018
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis Rudy Bunel Matthew J. Hausknecht Jacob Devlin Rishabh Singh Pushmeet Kohli NAI 29 216 0 11 May 2018
Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications Guy Hadash Einat Kermany Boaz Carmeli Ofer Lavi George Kour Alon Jacovi AI4TS 21 42 0 24 Apr 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 34 290 0 28 Feb 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Mathias Niepert 44 446 0 29 Nov 2017
Modeling Past and Future for Neural Machine Translation Zaixiang Zheng Hao Zhou Shujian Huang Lili Mou Xinyu Dai Jiajun Chen Zhaopeng Tu 32 48 0 27 Nov 2017
Dynamic Neural Program Embedding for Program Repair Ke Wang Rishabh Singh Z. Su NAI 37 136 0 20 Nov 2017
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 68 478 0 13 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Neural Program Meta-Induction Jacob Devlin Rudy Bunel Rishabh Singh Matthew J. Hausknecht Pushmeet Kohli 40 72 0 11 Oct 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
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 30 11 0 26 Jul 2017
Towards Synthesizing Complex Programs from Input-Output Examples Xinyun Chen Chang-rui Liu D. Song NAI 21 11 0 05 Jun 2017
On-the-fly Operation Batching in Dynamic Computation Graphs Graham Neubig Yoav Goldberg Chris Dyer 34 60 0 22 May 2017
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems Wang Ling Dani Yogatama Chris Dyer Phil Blunsom AIMat 28 680 0 11 May 2017
Inferring and Executing Programs for Visual Reasoning Justin Johnson B. Hariharan L. V. D. van der Maaten Judy Hoffman Li Fei-Fei C. L. Zitnick Ross B. Girshick NAI 23 541 0 10 May 2017
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin D. Song AI4CE LRM 26 146 0 21 Apr 2017
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning T. Le A. G. Baydin R. Zinkov Frank Wood SyDa OOD 25 89 0 02 Mar 2017
Improving the Neural GPU Architecture for Algorithm Learning Kārlis Freivalds Renars Liepins 25 43 0 28 Feb 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,174 0 02 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou Zhengdong Lu Hang Li Zhi Jin NAI FedML 33 43 0 08 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 439 0 01 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 30 566 0 07 Nov 2016
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 21 458 0 06 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
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 52 142 0 31 Oct 2016
Deep Amortized Inference for Probabilistic Programs Daniel E. Ritchie Paul Horsfall Noah D. Goodman TPM 24 81 0 18 Oct 2016
An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification Tong Wang Ping Chen K. Amaral Jipeng Qiang 11 46 0 13 Sep 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
Programming with a Differentiable Forth Interpreter Matko Bosnjak Tim Rocktaschel Jason Naradowsky Sebastian Riedel 17 148 0 21 May 2016
Disentangled Representations in Neural Models William F. Whitney OOD OCL DRL 30 18 0 07 Feb 2016
Neural Programmer: Inducing Latent Programs with Gradient Descent Arvind Neelakantan Quoc V. Le Ilya Sutskever ODL 35 260 0 16 Nov 2015