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
173162000
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
37712015
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and brain sciences 40, e253, 2017
33792017
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
23872016
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
Science 331 (6022), 1279-1285, 2011
22092011
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
18842005
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
17012018
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
15872003
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
14842016
Topics in semantic representation.
TL Griffiths, M Steyvers, JB Tenenbaum
Psychological review 114 (2), 211, 2007
14752007
Word learning as Bayesian inference.
F Xu, JB Tenenbaum
Psychological review 114 (2), 245, 2007
13792007
Global versus local methods in nonlinear dimensionality reduction
V Silva, J Tenenbaum
Advances in neural information processing systems 15, 2002
12842002
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
12362022
Machine behaviour
I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ...
Nature 568 (7753), 477-486, 2019
12242019
Action understanding as inverse planning
CL Baker, R Saxe, JB Tenenbaum
Cognition 113 (3), 329-349, 2009
12102009
Causal inference in multisensory perception
KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams
PLoS one 2 (9), e943, 2007
11942007
Theory-based Bayesian models of inductive learning and reasoning
JB Tenenbaum, TL Griffiths, C Kemp
Trends in cognitive sciences 10 (7), 309-318, 2006
11782006
Deep convolutional inverse graphics network
TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum
Advances in neural information processing systems 28, 2015
11412015
Rethinking few-shot image classification: a good embedding is all you need?
Y Tian, Y Wang, D Krishnan, JB Tenenbaum, P Isola
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
10992020
Separating style and content with bilinear models
JB Tenenbaum, WT Freeman
Neural Computation 12 (6), 1247-1283, 2000
10962000
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Články 1–20