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1710.04157
Cited By
Neural Program Meta-Induction
11 October 2017
Jacob Devlin
Rudy Bunel
Rishabh Singh
Matthew J. Hausknecht
Pushmeet Kohli
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Papers citing
"Neural Program Meta-Induction"
43 / 43 papers shown
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
427
0
0
07 May 2025
Action abstractions for amortized sampling
International Conference on Learning Representations (ICLR), 2024
Oussama Boussif
Léna Néhale Ezzine
J. Viviano
Michał Koziarski
Moksh Jain
Nikolay Malkin
Emmanuel Bengio
Rim Assouel
Yoshua Bengio
182
2
0
19 Oct 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Tural Mammadov
Dietrich Klakow
Alexander Koller
Andreas Zeller
269
3
0
11 Jul 2024
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment
Chao Wen
Jacqueline Staub
Adish Singla
ELM
266
5
0
17 Jun 2024
Guided Sketch-Based Program Induction by Search Gradients
Ahmad Ayaz Amin
103
0
0
10 Feb 2024
Enhancing Robot Program Synthesis Through Environmental Context
Neural Information Processing Systems (NeurIPS), 2023
Tianyi Chen
Qidi Wang
Zhen Dong
Liwei Shen
Xin Peng
246
4
0
13 Dec 2023
Synthesis of Mathematical programs from Natural Language Specifications
G. Prasath
Shirish S. Karande
191
10
0
30 Mar 2023
Improved Tree Search for Automatic Program Synthesis
Aran Carmon
Lior Wolf
191
0
0
13 Mar 2023
Hierarchical Neural Program Synthesis
Linghan Zhong
Ryan Lindeborg
Jesse Zhang
Joseph J. Lim
Shao-Hua Sun
201
9
0
09 Mar 2023
Learning Performance-Improving Code Edits
International Conference on Learning Representations (ICLR), 2023
Alex Shypula
Aman Madaan
Yiming Yang
Uri Alon
Jacob R. Gardner
Milad Hashemi
Graham Neubig
Parthasarathy Ranganathan
Osbert Bastani
Amir Yazdanbakhsh
SyDa
324
125
0
15 Feb 2023
Large Language Models Are Human-Level Prompt Engineers
International Conference on Learning Representations (ICLR), 2022
Yongchao Zhou
Andrei Ioan Muresanu
Ziwen Han
Keiran Paster
Silviu Pitis
Harris Chan
Jimmy Ba
ALM
LLMAG
449
1,160
0
03 Nov 2022
Learning to Improve Code Efficiency
Bing Chen
Daniel Tarlow
Kevin Swersky
Martin Maas
P. Heiber
Ashish Naik
Milad Hashemi
Parthasarathy Ranganathan
131
10
0
09 Aug 2022
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks
Educational Data Mining (EDM), 2022
Adish Singla
Nikitas Theodoropoulos
250
13
0
03 May 2022
A Review of Emerging Research Directions in Abstract Visual Reasoning
Information Fusion (Inf. Fusion), 2022
Mikolaj Malkiñski
Jacek Mańdziuk
295
47
0
21 Feb 2022
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao
Karan Samel
Binghong Chen
Le Song
ViT
LM&Ro
257
32
0
02 Oct 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Neural Information Processing Systems (NeurIPS), 2021
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
392
86
0
31 Aug 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
Mike Wu
Noah D. Goodman
Chris Piech
Chelsea Finn
251
22
0
23 Jul 2021
Latent Execution for Neural Program Synthesis
Neural Information Processing Systems (NeurIPS), 2021
Xinyun Chen
Basel Alomair
Yuandong Tian
NAI
339
57
0
29 Jun 2021
Communicating Natural Programs to Humans and Machines
Neural Information Processing Systems (NeurIPS), 2021
Samuel Acquaviva
Yewen Pu
Marta Kryven
Theo Sechopoulos
Catherine Wong
Gabrielle Ecanow
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
388
47
0
15 Jun 2021
Learning to Combine Per-Example Solutions for Neural Program Synthesis
Neural Information Processing Systems (NeurIPS), 2021
Disha Shrivastava
Hugo Larochelle
Daniel Tarlow
NAI
160
13
0
14 Jun 2021
Neurogenetic Programming Framework for Explainable Reinforcement Learning
Vadim Liventsev
Aki Härmä
M. Petković
111
4
0
08 Feb 2021
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
Cody Watson
Nathan Cooper
David Nader-Palacio
Kevin Moran
Denys Poshyvanyk
274
138
0
14 Sep 2020
Process Discovery for Structured Program Synthesis
Dell Zhang
A. Kuhnle
J. Richardson
Murat Sensoy
111
2
0
13 Aug 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
Neural Information Processing Systems (NeurIPS), 2020
Kavi Gupta
Peter Ebert Christensen
Xinyun Chen
Basel Alomair
NAI
271
60
0
16 Jul 2020
Strong Generalization and Efficiency in Neural Programs
Yujia Li
Felix Gimeno
Pushmeet Kohli
Oriol Vinyals
279
19
0
07 Jul 2020
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis
Hossein Hajipour
Mateusz Malinowski
Mario Fritz
MIACV
159
3
0
18 Jun 2020
Synthesizing Tasks for Block-based Programming
Umair Z. Ahmed
M. Christakis
A. Efremov
Nigel Fernandez
Ahana Ghosh
Abhik Roychoudhury
Adish Singla
244
25
0
17 Jun 2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis
Catherine Wong
Maxwell Nye
Mathias Sablé-Meyer
Luc Cary
Lucas Morales
Luke B. Hewitt
Armando Solar-Lezama
J. Tenenbaum
NAI
CLL
286
223
0
15 Jun 2020
Neural Status Registers
International Conference on Machine Learning (ICML), 2020
Lukas Faber
Roger Wattenhofer
139
9
0
15 Apr 2020
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
709
2,376
0
11 Apr 2020
Improving Molecular Design by Stochastic Iterative Target Augmentation
International Conference on Machine Learning (ICML), 2020
Kevin Kaichuang Yang
Wengong Jin
Kyle Swanson
Regina Barzilay
Tommi Jaakkola
355
28
0
11 Feb 2020
Grammar Filtering For Syntax-Guided Synthesis
AAAI Conference on Artificial Intelligence (AAAI), 2020
K. Morton
William T. Hallahan
Elven Shum
R. Piskac
Mark Santolucito
147
12
0
07 Feb 2020
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
Amar Shrestha
Krittaphat Pugdeethosapol
Haowen Fang
Qinru Qiu
156
4
0
08 Jan 2020
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
International Conference on Learning Representations (ICLR), 2019
Xinjie Fan
Yizhe Zhang
Zhendong Wang
Mingyuan Zhou
BDL
139
4
0
31 Dec 2019
Synthetic Data for Deep Learning
Sergey I. Nikolenko
336
409
0
25 Sep 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
Neural Information Processing Systems (NeurIPS), 2019
Richard Shin
Miltiadis Allamanis
Marc Brockschmidt
Oleksandr Polozov
277
91
0
26 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Neural Information Processing Systems (NeurIPS), 2019
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
268
42
0
30 May 2019
Modularity as a Means for Complexity Management in Neural Networks Learning
David Castillo-Bolado
Cayetano Guerra
M. Hernández-Tejera
119
6
0
25 Feb 2019
NAPS: Natural Program Synthesis Dataset
Maksym Zavershynskyi
Alexander Skidanov
Illia Polosukhin
ReCod
274
37
0
06 Jul 2018
Neural Processes
M. Garnelo
Jonathan Richard Schwarz
Dan Rosenbaum
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
Yee Whye Teh
BDL
UQCV
GP
251
565
0
04 Jul 2018
Conditional Neural Processes
International Conference on Machine Learning (ICML), 2018
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCV
BDL
361
774
0
04 Jul 2018
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel
Matthew J. Hausknecht
Jacob Devlin
Rishabh Singh
Pushmeet Kohli
NAI
335
227
0
11 May 2018
Natural Language to Structured Query Generation via Meta-Learning
North American Chapter of the Association for Computational Linguistics (NAACL), 2018
Po-Sen Huang
Chenglong Wang
Rishabh Singh
Anuj Kumar
Xiaodong He
184
127
0
02 Mar 2018
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