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1904.08034
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People infer recursive visual concepts from just a few examples
17 April 2019
Brenden M. Lake
Steven T Piantadosi
BDL
DRL
Re-assign community
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Papers citing
"People infer recursive visual concepts from just a few examples"
27 / 27 papers shown
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432
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380
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Distilling Symbolic Priors for Concept Learning into Neural Networks
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300
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SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Neural Information Processing Systems (NeurIPS), 2023
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Holly Huey
Xuanchen Lu
Yael Vinker
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Ariel Shamir
Judith E. Fan
380
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05 Dec 2023
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Sophia Sanborn
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Thomas Griffiths
203
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30 Nov 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
AAML
264
10
0
30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
234
20
0
30 Jul 2023
Compositional diversity in visual concept learning
Cognition (Cognition), 2023
Yanli Zhou
Reuben Feinman
Brenden M. Lake
CoGe
OCL
308
11
0
30 May 2023
ANPL: Towards Natural Programming with Interactive Decomposition
Neural Information Processing Systems (NeurIPS), 2023
Di Huang
Ziyuan Nan
Xingui Hu
Pengwei Jin
Shaohui Peng
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Zidong Du
Qi Guo
Yewen Pu
Yunji Chen
359
18
0
29 May 2023
A Probabilistic Generative Model of Free Categories
Eli Sennesh
T. Xu
Y. Maruyama
301
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0
09 May 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
European Conference on Computer Vision (ECCV), 2022
Niv Cohen
Rinon Gal
E. Meirom
Gal Chechik
Yuval Atzmon
VLM
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427
115
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
350
13
0
04 Apr 2022
Can Humans Do Less-Than-One-Shot Learning?
Annual Meeting of the Cognitive Science Society (CogSci), 2022
Maya Malaviya
Ilia Sucholutsky
Kerem Oktar
Thomas Griffiths
312
13
0
09 Feb 2022
Building Object-based Causal Programs for Human-like Generalization
Bonan Zhao
Christopher G. Lucas
Neil R. Bramley
132
0
0
20 Nov 2021
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
International Conference on Learning Representations (ICLR), 2021
Sugandha Sharma
Aidan Curtis
Marta Kryven
J. Tenenbaum
Ila Fiete
238
10
0
23 Oct 2021
Explainable AI for Natural Adversarial Images
Tomas Folke
Zhaobin Li
Ravi B. Sojitra
Scott Cheng-Hsin Yang
Patrick Shafto
AAML
FAtt
141
4
0
16 Jun 2021
Communicating Natural Programs to Humans and Machines
Neural Information Processing Systems (NeurIPS), 2021
Samuel Acquaviva
Yewen Pu
Marta Kryven
Theo Sechopoulos
Catherine Wong
Gabrielle Ecanow
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
563
48
0
15 Jun 2021
Flexible Compositional Learning of Structured Visual Concepts
Yanli Zhou
Brenden M. Lake
OCL
CoGe
226
7
0
20 May 2021
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching
Scientific Reports (Sci Rep), 2021
Scott Cheng-Hsin Yang
Wai Keen Vong
Ravi B. Sojitra
Tomas Folke
Patrick Shafto
266
43
0
07 Feb 2021
Learning a Deep Generative Model like a Program: the Free Category Prior
Eli Sennesh
NAI
BDL
188
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
208
32
0
06 Oct 2020
Learning abstract structure for drawing by efficient motor program induction
Neural Information Processing Systems (NeurIPS), 2020
Lucas Y. Tian
Kevin Ellis
Marta Kryven
J. Tenenbaum
368
43
0
08 Aug 2020
Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman
Brenden M. Lake
GAN
239
20
0
25 Jun 2020
Generating new concepts with hybrid neuro-symbolic models
Annual Meeting of the Cognitive Science Society (CogSci), 2020
Reuben Feinman
Brenden M. Lake
BDL
331
14
0
19 Mar 2020
One Model for the Learning of Language
Yu’an Yang
192
57
0
16 Nov 2017
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