People infer recursive visual concepts from just a few examples

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People infer recursive visual concepts from just a few examples

17 April 2019

Brenden M. Lake

Steven T Piantadosi

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Papers citing "People infer recursive visual concepts from just a few examples"

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Title
TurtleBench: A Visual Programming Benchmark in Turtle Geometry Sina Rismanchian Yasaman Razeghi Sameer Singh Shayan Doroudi 131 2 0 31 Oct 2024
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 122 0 0 14 Oct 2024
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 106 7 0 30 Jul 2023
ANPL: Towards Natural Programming with Interactive Decomposition Di Huang Ziyuan Nan Xingui Hu Pengwei Jin Shaohui Peng ... Rui Zhang Zidong Du Qi Guo Yewen Pu Yunji Chen 87 9 0 29 May 2023
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations Niv Cohen Rinon Gal E. Meirom Gal Chechik Yuval Atzmon VLM MLLM 114 88 0 04 Apr 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan Cohen Thomas Griffiths 80 10 0 04 Apr 2022
Can Humans Do Less-Than-One-Shot Learning? Maya Malaviya Ilia Sucholutsky Kerem Oktar Thomas Griffiths 149 8 0 09 Feb 2022
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments Sugandha Sharma Aidan Curtis Marta Kryven J. Tenenbaum Ila Fiete 49 8 0 23 Oct 2021
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 92 42 0 15 Jun 2021
Flexible Compositional Learning of Structured Visual Concepts Yanli Zhou Brenden M. Lake OCL CoGe 41 7 0 20 May 2021
Learning a Deep Generative Model like a Program: the Free Category Prior Eli Sennesh NAI BDL 34 0 0 22 Nov 2020
CURI: A Benchmark for Productive Concept Learning Under Uncertainty Ramakrishna Vedantam Arthur Szlam Maximilian Nickel Ari S. Morcos Brenden M. Lake UQLM LRM 68 27 0 06 Oct 2020
Learning Task-General Representations with Generative Neuro-Symbolic Modeling Reuben Feinman Brenden M. Lake GAN 61 19 0 25 Jun 2020
Generating new concepts with hybrid neuro-symbolic models Reuben Feinman Brenden M. Lake BDL 115 13 0 19 Mar 2020
One Model for the Learning of Language Yu’an Yang 65 51 0 16 Nov 2017