Learning to learn generative programs with Memoised Wake-Sleep

6 July 2020

Papers citing "Learning to learn generative programs with Memoised Wake-Sleep"

7 / 7 papers shown

Title
Generating Pragmatic Examples to Train Neural Program Synthesizers Saujas Vaduguru Daniel Fried Yewen Pu NAI 24 5 0 09 Nov 2023
Compositional diversity in visual concept learning Yanli Zhou Reuben Feinman Brenden Lake CoGe OCL 32 8 0 30 May 2023
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 134 77 0 02 Oct 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models Yi-Chuan Liang J. Tenenbaum T. Le N. Siddharth 23 7 0 03 Jun 2022
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions R. K. Jones Homer Walke Daniel E. Ritchie 22 24 0 25 Nov 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 12 190 0 15 Jun 2020
Variational Particle Approximations A. Saeedi Tejas D. Kulkarni Vikash K. Mansinghka S. Gershman 85 60 0 24 Feb 2014