Papers citing 'Neural Program Meta-Induction'

Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 403 0 0 07 May 2025
Action abstractions for amortized samplingInternational 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 162 2 0 19 Oct 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs Tural Mammadov Dietrich Klakow Alexander Koller Andreas Zeller 257 3 0 11 Jul 2024
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment Chao Wen Jacqueline Staub Adish Singla ELM 202 5 0 17 Jun 2024
Guided Sketch-Based Program Induction by Search Gradients Ahmad Ayaz Amin 79 0 0 10 Feb 2024
Enhancing Robot Program Synthesis Through Environmental ContextNeural Information Processing Systems (NeurIPS), 2023 Tianyi Chen Qidi Wang Zhen Dong Liwei Shen Xin Peng 206 4 0 13 Dec 2023
Synthesis of Mathematical programs from Natural Language Specifications G. Prasath Shirish S. Karande 155 10 0 30 Mar 2023
Improved Tree Search for Automatic Program Synthesis Aran Carmon Lior Wolf 175 0 0 13 Mar 2023
Hierarchical Neural Program Synthesis Linghan Zhong Ryan Lindeborg Jesse Zhang Joseph J. Lim Shao-Hua Sun 165 9 0 09 Mar 2023
Learning Performance-Improving Code EditsInternational 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 228 124 0 15 Feb 2023
Large Language Models Are Human-Level Prompt EngineersInternational Conference on Learning Representations (ICLR), 2022 Yongchao Zhou Andrei Ioan Muresanu Ziwen Han Keiran Paster Silviu Pitis Harris Chan Jimmy Ba ALM LLMAG 425 1,143 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 111 10 0 09 Aug 2022
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming TasksEducational Data Mining (EDM), 2022 Adish Singla Nikitas Theodoropoulos 222 13 0 03 May 2022
A Review of Emerging Research Directions in Abstract Visual ReasoningInformation Fusion (Inf. Fusion), 2022 Mikolaj Malkiñski Jacek Mańdziuk 251 46 0 21 Feb 2022
ProTo: Program-Guided Transformer for Program-Guided Tasks Zelin Zhao Karan Samel Binghong Chen Le Song ViT LM&Ro 233 32 0 02 Oct 2021
Learning to Synthesize Programs as Interpretable and Generalizable PoliciesNeural Information Processing Systems (NeurIPS), 2021 Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 348 84 0 31 Aug 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 235 22 0 23 Jul 2021
Latent Execution for Neural Program SynthesisNeural Information Processing Systems (NeurIPS), 2021 Xinyun Chen Basel Alomair Yuandong Tian NAI 319 57 0 29 Jun 2021
Communicating Natural Programs to Humans and MachinesNeural Information Processing Systems (NeurIPS), 2021 Samuel Acquaviva Yewen Pu Marta Kryven Theo Sechopoulos Catherine Wong Gabrielle Ecanow Maxwell Nye Michael Henry Tessler J. Tenenbaum 356 47 0 15 Jun 2021
Learning to Combine Per-Example Solutions for Neural Program SynthesisNeural Information Processing Systems (NeurIPS), 2021 Disha Shrivastava Hugo Larochelle Daniel Tarlow NAI 140 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 ResearchACM Transactions on Software Engineering and Methodology (TOSEM), 2020 Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 230 138 0 14 Sep 2020
Process Discovery for Structured Program Synthesis Dell Zhang A. Kuhnle J. Richardson Murat Sensoy 103 2 0 13 Aug 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program SynthesisNeural Information Processing Systems (NeurIPS), 2020 Kavi Gupta Peter Ebert Christensen Xinyun Chen Basel Alomair NAI 239 60 0 16 Jul 2020
Strong Generalization and Efficiency in Neural Programs Yujia Li Felix Gimeno Pushmeet Kohli Oriol Vinyals 263 19 0 07 Jul 2020
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis Hossein Hajipour Mateusz Malinowski Mario Fritz MIACV 139 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 208 24 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 258 223 0 15 Jun 2020
Neural Status RegistersInternational Conference on Machine Learning (ICML), 2020 Lukas Faber Roger Wattenhofer 115 9 0 15 Apr 2020
Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 677 2,352 0 11 Apr 2020
Improving Molecular Design by Stochastic Iterative Target AugmentationInternational Conference on Machine Learning (ICML), 2020 Kevin Kaichuang Yang Wengong Jin Kyle Swanson Regina Barzilay Tommi Jaakkola 311 28 0 11 Feb 2020
Grammar Filtering For Syntax-Guided SynthesisAAAI Conference on Artificial Intelligence (AAAI), 2020 K. Morton William T. Hallahan Elven Shum R. Piskac Mark Santolucito 143 11 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 132 4 0 08 Jan 2020
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence GenerationInternational Conference on Learning Representations (ICLR), 2019 Xinjie Fan Yizhe Zhang Zhendong Wang Mingyuan Zhou BDL 119 4 0 31 Dec 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 312 406 0 25 Sep 2019
Program Synthesis and Semantic Parsing with Learned Code IdiomsNeural Information Processing Systems (NeurIPS), 2019 Richard Shin Miltiadis Allamanis Marc Brockschmidt Oleksandr Polozov 257 91 0 26 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and PlanningNeural 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 260 42 0 30 May 2019
Modularity as a Means for Complexity Management in Neural Networks Learning David Castillo-Bolado Cayetano Guerra M. Hernández-Tejera 107 6 0 25 Feb 2019
NAPS: Natural Program Synthesis Dataset Maksym Zavershynskyi Alexander Skidanov Illia Polosukhin ReCod 258 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 235 560 0 04 Jul 2018
Conditional Neural ProcessesInternational 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 337 771 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 315 227 0 11 May 2018
Natural Language to Structured Query Generation via Meta-LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018 Po-Sen Huang Chenglong Wang Rishabh Singh Anuj Kumar Xiaodong He 160 126 0 02 Mar 2018