HOUDINI: Lifelong Learning as Program Synthesis

HOUDINI: Lifelong Learning as Program Synthesis

31 March 2018

Dipak Chaudhari

Akash Srivastava

Swarat Chaudhuri

Papers citing "HOUDINI: Lifelong Learning as Program Synthesis"

17 / 17 papers shown

Title
SketchOGD: Memory-Efficient Continual Learning Benjamin Wright Youngjae Min Jeremy Bernstein Navid Azizan CLL 23 0 0 25 May 2023
Discovering Design Concepts for CAD Sketches Yuezhi Yang Hao Pan 14 12 0 26 Oct 2022
Neurosymbolic Programming for Science Jennifer J. Sun Megan Tjandrasuwita Atharva Sehgal Armando Solar-Lezama Swarat Chaudhuri Yisong Yue Omar Costilla-Reyes NAI 37 12 0 10 Oct 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 36 14 0 31 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 32 27 0 15 Jul 2022
From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang Kevin Ellis NAI 22 10 0 13 Jun 2022
Automated causal inference in application to randomized controlled clinical trials Ji Q. Wu N. Horeweg M. de Bruyn R. Nout I. Jürgenliemk-Schulz ... H. Nijman V. Smit T. Bosse C. Creutzberg V. Koelzer CML 24 14 0 15 Jan 2022
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis Albert Tseng Jennifer J. Sun Yisong Yue 34 9 0 30 Nov 2021
Interpreting Expert Annotation Differences in Animal Behavior Megan Tjandrasuwita Jennifer J. Sun Ann Kennedy Swarat Chaudhuri Yisong Yue 14 8 0 11 Jun 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 39 12 0 22 Feb 2021
Neurosymbolic Transformers for Multi-Agent Communication J. Inala Yichen Yang James Paulos Yewen Pu Osbert Bastani Vijay R. Kumar Martin Rinard Armando Solar-Lezama 26 24 0 05 Jan 2021
Learning Differentiable Programs with Admissible Neural Heuristics Ameesh Shah Eric Zhan Jennifer J. Sun Abhinav Verma Yisong Yue Swarat Chaudhuri 137 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 12 190 0 15 Jun 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Task-Driven Modular Networks for Zero-Shot Compositional Learning Senthil Purushwalkam Maximilian Nickel Abhinav Gupta MarcÁurelio Ranzato 29 170 0 15 May 2019
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 26 68 0 12 Jul 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016