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RobustFill: Neural Program Learning under Noisy I/O

RobustFill: Neural Program Learning under Noisy I/O

21 March 2017
Jacob Devlin
J. Uesato
Surya Bhupatiraju
Rishabh Singh
Abdel-rahman Mohamed
Pushmeet Kohli
ArXivPDFHTML

Papers citing "RobustFill: Neural Program Learning under Noisy I/O"

50 / 82 papers shown
Title
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
Jonas Belouadi
Eddy Ilg
Margret Keuper
Hideki Tanaka
Masao Utiyama
Raj Dabre
Steffen Eger
Simone Paolo Ponzetto
54
0
0
14 Mar 2025
Relational decomposition for program synthesis
Relational decomposition for program synthesis
Céline Hocquette
Andrew Cropper
47
4
0
22 Aug 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Tural Mammadov
Dietrich Klakow
Alexander Koller
Andreas Zeller
45
3
0
11 Jul 2024
Is Programming by Example solved by LLMs?
Is Programming by Example solved by LLMs?
Wen-Ding Li
Kevin Ellis
42
11
0
12 Jun 2024
Diffusion On Syntax Trees For Program Synthesis
Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur
Erik Jenner
Stuart J. Russell
DiffM
42
5
0
30 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
49
15
0
29 Apr 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
54
1
0
02 Feb 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
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
53
21
0
30 Dec 2023
Generating Pragmatic Examples to Train Neural Program Synthesizers
Generating Pragmatic Examples to Train Neural Program Synthesizers
Saujas Vaduguru
Daniel Fried
Yewen Pu
NAI
34
5
0
09 Nov 2023
CodeChain: Towards Modular Code Generation Through Chain of
  Self-revisions with Representative Sub-modules
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Hung Le
Hailin Chen
Amrita Saha
Akash Gokul
Doyen Sahoo
Chenyu You
LRM
32
42
0
13 Oct 2023
Image Transformation Sequence Retrieval with General Reinforcement
  Learning
Image Transformation Sequence Retrieval with General Reinforcement Learning
Enrique Mas-Candela
Antonio Ríos-Vila
Jorge Calvo-Zaragoza
27
0
0
13 Jul 2023
Learning-Based Automatic Synthesis of Software Code and Configuration
Learning-Based Automatic Synthesis of Software Code and Configuration
Shantanu Mandal
43
0
0
25 May 2023
Think Outside the Code: Brainstorming Boosts Large Language Models in
  Code Generation
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation
Xinyu Li
Jiang-Tian Xue
Zheng Xie
Ming Li
LRM
26
27
0
18 May 2023
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel
  Program Guidance
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
C. Chang
Ni Mu
Jiajun Wu
Ling Pan
Huazhe Xu
50
7
0
05 Dec 2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge
  Base and Database
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
Ye Liu
Semih Yavuz
Rui Meng
Dragomir R. Radev
Caiming Xiong
Yingbo Zhou
46
29
0
09 Nov 2022
Neurosymbolic Programming for Science
Neurosymbolic Programming for Science
Jennifer J. Sun
Megan Tjandrasuwita
Atharva Sehgal
Armando Solar-Lezama
Swarat Chaudhuri
Yisong Yue
Omar Costilla-Reyes
NAI
47
12
0
10 Oct 2022
Neural-Symbolic Recursive Machine for Systematic Generalization
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li
Yixin Zhu
Yitao Liang
Ying Nian Wu
Song-Chun Zhu
Siyuan Huang
NAI
45
9
0
04 Oct 2022
BenchPress: A Deep Active Benchmark Generator
BenchPress: A Deep Active Benchmark Generator
Foivos Tsimpourlas
Pavlos Petoumenos
Min Xu
Chris Cummins
K. Hazelwood
A. Rajan
Hugh Leather
29
3
0
13 Aug 2022
Neurosymbolic Repair for Low-Code Formula Languages
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi
Harshit Joshi
José Pablo Cambronero Sánchez
Anna Fariha
Sumit Gulwani
Vu Le
Ivan Radicek
A. Tiwari
18
13
0
24 Jul 2022
Physics Informed Symbolic Networks
Physics Informed Symbolic Networks
Ritam Majumdar
Vishal Sudam Jadhav
A. Deodhar
Shirish S. Karande
L. Vig
Venkataramana Runkana
PINN
26
0
0
11 Jul 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep
  Reinforcement Learning
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
243
0
05 Jul 2022
From Perception to Programs: Regularize, Overparameterize, and Amortize
From Perception to Programs: Regularize, Overparameterize, and Amortize
Hao Tang
Kevin Ellis
NAI
31
10
0
13 Jun 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic
  Synthesis
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
Yushi Cao
Zhiming Li
Tianpei Yang
Hao Zhang
Yan Zheng
Yi Li
Jianye Hao
Yang Liu
NAI
38
16
0
27 May 2022
Neural Program Synthesis with Query
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
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based
  Visual Programming Tasks
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks
Adish Singla
Nikitas Theodoropoulos
31
13
0
03 May 2022
Compositional Generalization and Decomposition in Neural Program
  Synthesis
Compositional Generalization and Decomposition in Neural Program Synthesis
Kensen Shi
Joey Hong
Manzil Zaheer
Pengcheng Yin
Charles Sutton
40
5
0
07 Apr 2022
Evolutionary Programmer: Autonomously Creating Path Planning Programs
  based on Evolutionary Algorithms
Evolutionary Programmer: Autonomously Creating Path Planning Programs based on Evolutionary Algorithms
J. Lou
Rong Ding
Wen-Hong Wu
22
1
0
30 Mar 2022
Less is More: Summary of Long Instructions is Better for Program
  Synthesis
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
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems
  Perspective
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
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
1,318
0
08 Feb 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding
  with Text-to-Text Language Models
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
Tianbao Xie
Chen Henry Wu
Peng Shi
Ruiqi Zhong
Torsten Scholak
...
Lingpeng Kong
Rui Zhang
Noah A. Smith
Luke Zettlemoyer
Tao Yu
LMTD
42
297
0
16 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
36
7
0
31 Dec 2021
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLM
LRM
98
710
0
30 Nov 2021
Neural Program Generation Modulo Static Analysis
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
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base
  Question Answering
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
Xi Ye
Semih Yavuz
Kazuma Hashimoto
Yingbo Zhou
Caiming Xiong
146
140
0
17 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
24
73
0
31 Aug 2021
Evaluating Large Language Models Trained on Code
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
86
5,161
0
07 Jul 2021
Improving Coherence and Consistency in Neural Sequence Models with
  Dual-System, Neuro-Symbolic Reasoning
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
Brenden M. Lake
33
117
0
06 Jul 2021
Latent Execution for Neural Program Synthesis
Latent Execution for Neural Program Synthesis
Xinyun Chen
D. Song
Yuandong Tian
NAI
29
52
0
29 Jun 2021
On Adversarial Robustness of Synthetic Code Generation
On Adversarial Robustness of Synthetic Code Generation
Mrinal Anand
Pratik Kayal
M. Singh
34
4
0
22 Jun 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong
Kevin Ellis
J. Tenenbaum
Jacob Andreas
27
54
0
18 Jun 2021
Communicating Natural Programs to Humans and Machines
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
Program Synthesis Guided Reinforcement Learning for Partially Observed
  Environments
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
Neurogenetic Programming Framework for Explainable Reinforcement
  Learning
Neurogenetic Programming Framework for Explainable Reinforcement Learning
Vadim Liventsev
Aki Härmä
M. Petković
18
4
0
08 Feb 2021
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and
  Approximate Distributions
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions
R. K. Jones
Homer Walke
Daniel E. Ritchie
28
24
0
25 Nov 2020
Neural Software Analysis
Neural Software Analysis
Michael Pradel
S. Chandra
NAI
39
33
0
16 Nov 2020
A Systematic Literature Review on the Use of Deep Learning in Software
  Engineering Research
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
Neural Learning of One-of-Many Solutions for Combinatorial Problems in
  Structured Output Spaces
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Yatin Nandwani
Deepanshu Jindal
Mausam
Parag Singla
19
13
0
27 Aug 2020
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
Augustus Odena
Kensen Shi
David Bieber
Rishabh Singh
Charles Sutton
Hanjun Dai
38
56
0
28 Jul 2020
Learning Differentiable Programs with Admissible Neural Heuristics
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
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