DeepCoder: Learning to Write Programs

7 November 2016

Papers citing "DeepCoder: Learning to Write Programs"

50 / 78 papers shown

Title
Is Programming by Example solved by LLMs? Wen-Ding Li Kevin Ellis 37 10 0 12 Jun 2024
Diffusion On Syntax Trees For Program Synthesis Shreyas Kapur Erik Jenner Stuart J. Russell DiffM 37 5 0 30 May 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 55 4 0 26 May 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 43 20 0 30 Dec 2023
Generating Pragmatic Examples to Train Neural Program Synthesizers Saujas Vaduguru Daniel Fried Yewen Pu NAI 32 5 0 09 Nov 2023
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction Ryan Yen Jiawen Zhu Sangho Suh Haijun Xia Jian Zhao 46 14 0 12 Oct 2023
Amortizing Pragmatic Program Synthesis with Rankings Yewen Pu Saujas Vaduguru Priyan Vaithilingam Elena L. Glassman Daniel Fried 24 3 0 01 Sep 2023
Enhancing Network Management Using Code Generated by Large Language Models Sathiya Kumaran Mani Yajie Zhou Kevin Hsieh Santiago Segarra Ranveer Chandra Srikanth Kandula 44 22 0 11 Aug 2023
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis Julian Parsert Elizabeth Polgreen 33 3 0 13 Jul 2023
Explaining Competitive-Level Programming Solutions using LLMs Jierui Li Szymon Tworkowski Yingying Wu Raymond J. Mooney LRM 31 16 0 11 Jul 2023
Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism Edward R. Pantridge Thomas Helmuth 21 6 0 08 Jun 2023
Learning-Based Automatic Synthesis of Software Code and Configuration Shantanu Mandal 35 0 0 25 May 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 32 4 0 22 May 2023
Improved Tree Search for Automatic Program Synthesis Aran Carmon Lior Wolf 31 0 0 13 Mar 2023
LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions Zhening Li Gabriel Poesia Omar Costilla-Reyes Noah D. Goodman Armando Solar-Lezama 21 7 0 16 Nov 2022
Neural-Symbolic Recursive Machine for Systematic Generalization Qing Li Yixin Zhu Yitao Liang Ying Nian Wu Song-Chun Zhu Siyuan Huang NAI 40 9 0 04 Oct 2022
BenchPress: A Deep Active Benchmark Generator Foivos Tsimpourlas Pavlos Petoumenos Min Xu Chris Cummins K. Hazelwood A. Rajan Hugh Leather 21 3 0 13 Aug 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese Guosheng Lin SyDa ALM 135 240 0 05 Jul 2022
Neural Program Synthesis with Query Di Huang Rui Zhang Xing Hu Xishan Zhang Pengwei Jin Nan Li Zidong Du Qi Guo Yunji Chen 19 2 0 08 May 2022
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 33 627 0 12 Apr 2022
Compositional Generalization and Decomposition in Neural Program Synthesis Kensen Shi Joey Hong Manzil Zaheer Pengcheng Yin Charles Sutton 40 5 0 07 Apr 2022
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development Kevin Luxem Jennifer J. Sun S. P. Bradley K. Krishnan Eric A. Yttri Jan Zimmermann Talmo D. Pereira M. Laubach 29 35 0 06 Apr 2022
Evolutionary Programmer: Autonomously Creating Path Planning Programs based on Evolutionary Algorithms J. Lou Rong Ding Wen-Hong Wu 17 1 0 30 Mar 2022
Less is More: Summary of Long Instructions is Better for Program Synthesis Kirby Kuznia Swaroop Mishra Mihir Parmar Chitta Baral AIMat 28 22 0 16 Mar 2022
Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations S. Razavi E. Gamazon 16 5 0 15 Mar 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective Erfan Al-Hossami Samira Shaikh 32 6 0 10 Feb 2022
Competition-Level Code Generation with AlphaCode Yujia Li David Choi Junyoung Chung Nate Kushman Julian Schrittwieser ... Esme Sutherland Robson Pushmeet Kohli Nando de Koray Kavukcuoglu Oriol Vinyals 26 1,302 0 08 Feb 2022
Explanatory Learning: Beyond Empiricism in Neural Networks Antonio Norelli Giorgio Mariani Luca Moschella Andrea Santilli Giambattista Parascandolo Simone Melzi Emanuele Rodolà 14 2 0 25 Jan 2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De Toni Bruno Lepri Andrea Passerini CML 30 13 0 18 Jan 2022
Deep Distilling: automated code generation using explainable deep learning Paul J. Blazek Kesavan Venkatesh Milo M. Lin 16 2 0 16 Nov 2021
Code Representation Learning with Prüfer Sequences Tenzin Jinpa Yong Gao 21 0 0 14 Nov 2021
Neural Program Generation Modulo Static Analysis Rohan Mukherjee Yeming Wen Dipak Chaudhari Thomas W. Reps Swarat Chaudhuri C. Jermaine 32 24 0 26 Oct 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 83 5,135 0 07 Jul 2021
Latent Execution for Neural Program Synthesis Xinyun Chen D. Song Yuandong Tian NAI 21 52 0 29 Jun 2021
On Adversarial Robustness of Synthetic Code Generation Mrinal Anand Pratik Kayal M. Singh 34 3 0 22 Jun 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 24 54 0 18 Jun 2021
Communicating Natural Programs to Humans and Machines Samuel Acquaviva Yewen Pu Marta Kryven Theo Sechopoulos Catherine Wong Gabrielle Ecanow Maxwell Nye Michael Henry Tessler J. Tenenbaum 38 40 0 15 Jun 2021
Programming Puzzles Tal Schuster Ashwin Kalyan Oleksandr Polozov Adam Tauman Kalai ELM 22 32 0 10 Jun 2021
Toward Code Generation: A Survey and Lessons from Semantic Parsing Celine Lee Justin Emile Gottschlich Dan Roth Intel Labs 3DV 33 15 0 26 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 47 11 0 21 Apr 2021
Case-based Reasoning for Natural Language Queries over Knowledge Bases Rajarshi Das Manzil Zaheer Dung Ngoc Thai Ameya Godbole Ethan Perez Jay Yoon Lee Lizhen Tan L. Polymenakos Andrew McCallum 36 163 0 18 Apr 2021
Generating Adversarial Computer Programs using Optimized Obfuscations Shashank Srikant Sijia Liu Tamara Mitrovska Shiyu Chang Quanfu Fan Gaoyuan Zhang Una-May O’Reilly AAML 24 43 0 18 Mar 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 42 12 0 22 Feb 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
Code Building Genetic Programming Edward R. Pantridge Lee Spector 27 17 0 09 Aug 2020
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration Augustus Odena Kensen Shi David Bieber Rishabh Singh Charles Sutton Hanjun Dai 30 56 0 28 Jul 2020
Learning Differentiable Programs with Admissible Neural Heuristics Ameesh Shah Eric Zhan Jennifer J. Sun Abhinav Verma Yisong Yue Swarat Chaudhuri 149 43 0 23 Jul 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 27 190 0 15 Jun 2020