Making Neural Programming Architectures Generalize via Recursion

21 April 2017

Papers citing "Making Neural Programming Architectures Generalize via Recursion"

39 / 89 papers shown

Title
Dynamic Cell Structure via Recursive-Recurrent Neural Networks Xin-Yao Qian M. Kennedy Diego Klabjan 6 0 0 25 May 2019
Learning Scalable and Precise Representation of Program Semantics Ke Wang NAI 17 27 0 13 May 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 30 248 0 26 Apr 2019
Neural Program Repair by Jointly Learning to Localize and Repair Marko Vasic Aditya Kanade Petros Maniatis David Bieber Rishabh Singh 31 130 0 03 Apr 2019
Learning Implicitly Recurrent CNNs Through Parameter Sharing Pedro H. P. Savarese Michael Maire 25 67 0 26 Feb 2019
Modularity as a Means for Complexity Management in Neural Networks Learning David Castillo-Bolado Cayetano Guerra M. Hernández-Tejera 21 5 0 25 Feb 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
Learning to Infer and Execute 3D Shape Programs Yonglong Tian Andrew F. Luo Xingyuan Sun Kevin Ellis William T. Freeman J. Tenenbaum Jiajun Wu 3DV 21 145 0 09 Jan 2019
Building a Neural Semantic Parser from a Domain Ontology Jianpeng Cheng Siva Reddy Mirella Lapata NAI 17 8 0 25 Dec 2018
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs Christopher D. Rosin 11 16 0 26 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 27 114 0 19 Oct 2018
Inductive Visual Localisation: Factorised Training for Superior Generalisation Ankush Gupta Andrea Vedaldi Andrew Zisserman 19 2 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
Amanuensis: The Programmer's Apprentice Thomas Dean Maurice Chiang Marcus Gomez Nate Gruver Yousef Hindy ... S. Sanchez Rohun Saxena Michael Smith Lucy Wang Catherine Wong 29 3 0 29 Jun 2018
Communication Algorithms via Deep Learning Hyeji Kim Yihan Jiang Ranvir Rana Sreeram Kannan Sewoong Oh Pramod Viswanath 9 213 0 23 May 2018
Learning compositionally through attentive guidance Dieuwke Hupkes Anand Singh K. Korrel Germán Kruszewski Elia Bruni CoGe 19 30 0 20 May 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 24 42 0 24 Apr 2018
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples Ashwin J. Vijayakumar Abhishek Mohta Oleksandr Polozov Dhruv Batra Prateek Jain Sumit Gulwani NAI 9 163 0 03 Apr 2018
The Three Pillars of Machine Programming Justin Emile Gottschlich Armando Solar-Lezama Nesime Tatbul Michael Carbin Martin Rinard Regina Barzilay Saman P. Amarasinghe J. Tenenbaum Tim Mattson 21 62 0 20 Mar 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
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction Da Xiao Jonathan Liao Xingyuan Yuan NAI 16 14 0 08 Feb 2018
Recent Advances in Neural Program Synthesis Neel Kant NAI 17 36 0 07 Feb 2018
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs Forough Arabshahi Sameer Singh Anima Anandkumar NAI 13 5 0 12 Jan 2018
Neural Program Synthesis with Priority Queue Training Daniel A. Abolafia Mohammad Norouzi Jonathan Shen Rui Zhao Quoc V. Le 18 69 0 10 Jan 2018
Dynamic Neural Program Embedding for Program Repair Ke Wang Rishabh Singh Z. Su NAI 37 136 0 20 Nov 2017
Selecting Representative Examples for Program Synthesis Yewen Pu Zachery Miranda Armando Solar-Lezama L. Kaelbling 8 2 0 09 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 25 193 0 04 Oct 2017
Glass-Box Program Synthesis: A Machine Learning Approach Konstantina Christakopoulou Adam Tauman Kalai 17 1 0 25 Sep 2017
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 30 11 0 26 Jul 2017
Programmable Agents Misha Denil Sergio Gomez Colmenarejo Serkan Cabi D. Saxton Nando de Freitas AI4CE 27 42 0 20 Jun 2017
Towards Synthesizing Complex Programs from Input-Output Examples Xinyun Chen Chang-rui Liu D. Song NAI 21 11 0 05 Jun 2017
Explaining Transition Systems through Program Induction Svetlin Penkov S. Ramamoorthy 22 5 0 23 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
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Divide and Conquer Networks Alex W. Nowak David Folqué Joan Bruna 32 20 0 08 Nov 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory Marcin Andrychowicz Karol Kurach 41 51 0 09 Feb 2016