On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 3123 | 2021 |
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman science 331 (6022), 1279-1285, 2011 | 2087 | 2011 |
Pyro: Deep universal probabilistic programming E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ... Journal of Machine Learning Research, 2019 | 1235 | 2019 |
Predicting pragmatic reasoning in language games MC Frank, ND Goodman Science 336 (6084), 998-998, 2012 | 1148 | 2012 |
The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery E Bonawitz, P Shafto, H Gweon, ND Goodman, E Spelke, L Schulz Cognition 120 (3), 322-330, 2011 | 990 | 2011 |
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, J Tenenbaum Uncertainty in Artificial Intelligence, 2008 | 981* | 2008 |
Pragmatic language interpretation as probabilistic inference ND Goodman, MC Frank Trends in cognitive sciences 20 (11), 818-829, 2016 | 714 | 2016 |
One and done? Optimal decisions from very few samples E Vul, N Goodman, TL Griffiths, JB Tenenbaum Cognitive science 38 (4), 599-637, 2014 | 619 | 2014 |
Rational use of cognitive resources: Levels of analysis between the computational and the algorithmic TL Griffiths, F Lieder, ND Goodman Topics in cognitive science 7 (2), 217-229, 2015 | 559 | 2015 |
Knowledge and implicature: Modeling language understanding as social cognition ND Goodman, A Stuhlmüller Topics in cognitive science 5 (1), 173-184, 2013 | 525 | 2013 |
A Rational Analysis of Rule‐Based Concept Learning ND Goodman, JB Tenenbaum, J Feldman, TL Griffiths Cognitive Science 32 (1), 108-154, 2008 | 524 | 2008 |
Using speakers' referential intentions to model early cross-situational word learning MC Frank, ND Goodman, JB Tenenbaum Psychological science 20 (5), 578-585, 2009 | 463 | 2009 |
Where science starts: Spontaneous experiments in preschoolers’ exploratory play C Cook, ND Goodman, LE Schulz Cognition 120 (3), 341-349, 2011 | 432 | 2011 |
Learning disentangled representations with semi-supervised deep generative models B Paige, JW Van De Meent, A Desmaison, N Goodman, P Kohli, F Wood, ... Advances in neural information processing systems 30, 2017 | 402 | 2017 |
Multimodal generative models for scalable weakly-supervised learning M Wu, N Goodman Advances in neural information processing systems 31, 2018 | 395 | 2018 |
A rational account of pedagogical reasoning: Teaching by, and learning from, examples P Shafto, ND Goodman, TL Griffiths Cognitive psychology 71, 55-89, 2014 | 384 | 2014 |
Amortized inference in probabilistic reasoning S Gershman, N Goodman Proceedings of the annual meeting of the cognitive science society 36 (36), 2014 | 380 | 2014 |
The design and implementation of probabilistic programming languages ND Goodman, A Stuhlmüller | 341 | 2014 |
A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor Proceedings of the NIPS workshop on probabilistic programming: foundations …, 2012 | 317 | 2012 |
The anchoring bias reflects rational use of cognitive resources F Lieder, TL Griffiths, QJ M. Huys, ND Goodman Psychonomic bulletin & review 25, 322-349, 2018 | 308 | 2018 |