Synthetic Datasets for Neural Program Synthesis

27 December 2019

Richard Shin

Neel Kant

Kavi Gupta

Christopher M. Bender

Papers citing "Synthetic Datasets for Neural Program Synthesis"

22 / 22 papers shown

Title
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming Victor-Alexandru Pădurean Adish Singla ELM 63 3 0 14 Jun 2024
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis Rudy Bunel Matthew J. Hausknecht Jacob Devlin Rishabh Singh Pushmeet Kohli NAI 89 217 0 11 May 2018
Tensor2Tensor for Neural Machine Translation Ashish Vaswani Samy Bengio E. Brevdo François Chollet Aidan Gomez ... Nal Kalchbrenner Niki Parmar Ryan Sepassi Noam M. Shazeer Jakob Uszkoreit 76 528 0 16 Mar 2018
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction Da Xiao Jonathan Liao Xingyuan Yuan NAI 26 14 0 08 Feb 2018
Asymmetric Actor Critic for Image-Based Robot Learning Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel OffRL 33 367 0 18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 80 1,355 0 18 Oct 2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping Konstantinos Bousmalis A. Irpan Paul Wohlhart Yunfei Bai Matthew Kelcey ... Julian Ibarz P. Pastor K. Konolige Sergey Levine Vincent Vanhoucke OOD 64 654 0 22 Sep 2017
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin D. Song AI4CE LRM 48 146 0 21 Apr 2017
Deep API Programmer: Learning to Program with APIs Surya Bhupatiraju Rishabh Singh Abdel-rahman Mohamed Pushmeet Kohli 32 15 0 14 Apr 2017
RobustFill: Neural Program Learning under Noisy I/O Jacob Devlin J. Uesato Surya Bhupatiraju Rishabh Singh Abdel-rahman Mohamed Pushmeet Kohli 58 388 0 21 Mar 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 62 1,800 0 22 Dec 2016
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 60 570 0 07 Nov 2016
Neuro-Symbolic Program Synthesis Emilio Parisotto Abdel-rahman Mohamed Rishabh Singh Lihong Li Dengyong Zhou Pushmeet Kohli NAI 63 322 0 06 Nov 2016
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 43 249 0 11 Oct 2016
TerpreT: A Probabilistic Programming Language for Program Induction Alexander L. Gaunt Marc Brockschmidt Rishabh Singh Nate Kushman Pushmeet Kohli Jonathan Taylor Daniel Tarlow 42 124 0 15 Aug 2016
Neural GPUs Learn Algorithms Lukasz Kaiser Ilya Sutskever 58 369 0 25 Nov 2015
Neural Random-Access Machines Karol Kurach Marcin Andrychowicz Ilya Sutskever OOD BDL 51 156 0 19 Nov 2015
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 59 408 0 19 Nov 2015
Neural Programmer: Inducing Latent Programs with Gradient Descent Arvind Neelakantan Quoc V. Le Ilya Sutskever ODL 52 263 0 16 Nov 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets Armand Joulin Tomas Mikolov TPM 84 411 0 03 Mar 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 48 2,318 0 20 Oct 2014
Learning to Execute Wojciech Zaremba Ilya Sutskever ODL 54 557 0 17 Oct 2014