Sledovat
Joshua B. Tenenbaum
Název
Citace
Citace
Rok
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum, V Silva, JC Langford
science 290 (5500), 2319-2323, 2000
165302000
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
32242015
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and brain sciences 40, e253, 2017
27552017
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J Wu, C Zhang, T Xue, B Freeman, J Tenenbaum
Advances in neural information processing systems 29, 2016
20272016
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
Science 331 (6022), 1279-1285, 2011
19732011
The large‐scale structure of semantic networks: Statistical analyses and a model of semantic growth
M Steyvers, JB Tenenbaum
Cognitive science 29 (1), 41-78, 2005
17752005
Hierarchical topic models and the nested Chinese restaurant process
T Griffiths, M Jordan, J Tenenbaum, D Blei
Advances in neural information processing systems 16, 2003
14922003
Topics in semantic representation.
TL Griffiths, M Steyvers, JB Tenenbaum
Psychological review 114 (2), 211, 2007
14042007
Meta-learning for semi-supervised few-shot classification
M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ...
arXiv preprint arXiv:1803.00676, 2018
13612018
Word learning as Bayesian inference.
F Xu, JB Tenenbaum
Psychological review 114 (2), 245, 2007
12922007
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum
Advances in neural information processing systems 29, 2016
12722016
Global versus local methods in nonlinear dimensionality reduction
V Silva, J Tenenbaum
Advances in neural information processing systems 15, 2002
12422002
Theory-based Bayesian models of inductive learning and reasoning
JB Tenenbaum, TL Griffiths, C Kemp
Trends in cognitive sciences 10 (7), 309-318, 2006
11012006
Deep convolutional inverse graphics network
TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum
Advances in neural information processing systems 28, 2015
10722015
Causal inference in multisensory perception
KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams
PLoS one 2 (9), e943, 2007
10612007
Separating style and content with bilinear models
JB Tenenbaum, WT Freeman
Neural Computation 12 (6), 1247-1283, 2000
10482000
Action understanding as inverse planning
CL Baker, R Saxe, JB Tenenbaum
Cognition 113 (3), 329-349, 2009
10382009
Church: a language for generative models
N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum
arXiv preprint arXiv:1206.3255, 2012
9552012
One shot learning of simple visual concepts
B Lake, R Salakhutdinov, J Gross, J Tenenbaum
Proceedings of the annual meeting of the cognitive science society 33 (33), 2011
9482011
Generalization, similarity, and Bayesian inference
JB Tenenbaum, TL Griffiths
Behavioral and brain sciences 24 (4), 629-640, 2001
9312001
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20