Learning abstract structure for drawing by efficient motor program
induction

Learning abstract structure for drawing by efficient motor program induction

Neural Information Processing Systems (NeurIPS), 2020

8 August 2020

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Papers citing "Learning abstract structure for drawing by efficient motor program induction"

14 / 14 papers shown

Title
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy ObservationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Chunyang Li Weiqi Wang Tianshi Zheng Yangqiu Song LRM 366 14 0 22 Feb 2025
Action abstractions for amortized samplingInternational Conference on Learning Representations (ICLR), 2024 Oussama Boussif Léna Néhale Ezzine J. Viviano Michał Koziarski Moksh Jain Nikolay Malkin Emmanuel Bengio Rim Assouel Yoshua Bengio 150 2 0 19 Oct 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 428 3 0 09 Jun 2024
Language to Rewards for Robotic Skill SynthesisConference on Robot Learning (CoRL), 2023 Wenhao Yu Nimrod Gileadi Chuyuan Fu Sean Kirmani Kuang-Huei Lee ... N. Heess Dorsa Sadigh Jie Tan Yuval Tassa F. Xia LM&Ro 208 348 0 14 Jun 2023
ANPL: Towards Natural Programming with Interactive DecompositionNeural Information Processing Systems (NeurIPS), 2023 Di Huang Ziyuan Nan Xingui Hu Pengwei Jin Shaohui Peng ... Rui Zhang Zidong Du Qi Guo Yewen Pu Yunji Chen 233 13 0 29 May 2023
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in MachinesNeural Information Processing Systems (NeurIPS), 2022 Sreejan Kumar Carlos G. Correa Ishita Dasgupta Raja Marjieh Michael Y. Hu Robert D. Hawkins Nathaniel D. Daw Jonathan D. Cohen Karthik Narasimhan Thomas Griffiths AI4CE 218 31 0 23 May 2022
Identifying concept libraries from language about object structureAnnual Meeting of the Cognitive Science Society (CogSci), 2022 Catherine Wong William P. McCarthy Gabriel Grand Yoni Friedman J. Tenenbaum Jacob Andreas Robert D. Hawkins Judith E. Fan OCL 151 14 0 11 May 2022
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward MachinesInternational Conference on Machine Learning (ICML), 2022 Weichao Zhou Wenchao Li BDL 110 12 0 20 Apr 2022
Programmatic Reward Design by Example Weichao Zhou Wenchao Li 211 15 0 14 Dec 2021
Map Induction: Compositional spatial submap learning for efficient exploration in novel environmentsInternational Conference on Learning Representations (ICLR), 2021 Sugandha Sharma Aidan Curtis Marta Kryven J. Tenenbaum Ila Fiete 162 9 0 23 Oct 2021
Leveraging Language to Learn Program Abstractions and Search HeuristicsInternational Conference on Machine Learning (ICML), 2021 Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 175 58 0 18 Jun 2021
Communicating Natural Programs to Humans and MachinesNeural Information Processing Systems (NeurIPS), 2021 Samuel Acquaviva Yewen Pu Marta Kryven Theo Sechopoulos Catherine Wong Gabrielle Ecanow Maxwell Nye Michael Henry Tessler J. Tenenbaum 244 47 0 15 Jun 2021
SketchEmbedNet: Learning Novel Concepts by Imitating DrawingsInternational Conference on Machine Learning (ICML), 2020 Alexander Wang Mengye Ren R. Zemel SSL 260 24 0 27 Aug 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 242 221 0 15 Jun 2020