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Dawn Chen
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Which tasks should be learned together in multi-task learning?
T Standley, A Zamir, D Chen, L Guibas, J Malik, S Savarese
International conference on machine learning, 9120-9132, 2020
4682020
Bayesian analogy with relational transformations.
H Lu, D Chen, KJ Holyoak
Psychological review 119 (3), 617, 2012
902012
Evaluating vector-space models of analogy
D Chen, JC Peterson, TL Griffiths
arXiv preprint arXiv:1705.04416, 2017
752017
Biological variability of estimated GFR and albuminuria in CKD
SS Waikar, CM Rebholz, Z Zheng, S Hurwitz, C Hsu, HI Feldman, D Xie, ...
American Journal of Kidney Diseases 72 (4), 538-546, 2018
742018
image2mass: Estimating the mass of an object from its image
T Standley, O Sener, D Chen, S Savarese
Conference on Robot Learning, 324-333, 2017
482017
Parallelograms revisited: Exploring the limitations of vector space models for simple analogies
JC Peterson, D Chen, TL Griffiths
Cognition 205, 104440, 2020
292020
The discovery and comparison of symbolic magnitudes
D Chen, H Lu, KJ Holyoak
Cognitive Psychology 71, 27-54, 2014
242014
Generative inferences based on learned relations
D Chen, H Lu, KJ Holyoak
Cognitive science 41, 1062-1092, 2017
162017
Critical features of joint actions that signal human interaction
T Shu, S Thurman, D Chen, SC Zhu, H Lu
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 574-579, 2016
82016
Learning and generalization of abstract semantic relations: Preliminary investigation of Bayesian approaches
D Chen, H Lu, K Holyoak
Proceedings of the Annual Meeting of the Cognitive Science Society 32 (32), 2010
52010
Generative inferences based on a discriminative Bayesian model of relation learning
D Chen, H Lu, K Holyoak
Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013
32013
Learning and Generalizing Cross-Category Relations Using Hierarchical Distributed Representations.
D Chen, H Lu, KJ Holyoak
CogSci, 2015
12015
Enhancing acquisition of intuition versus planning in problem solving
D Chen, K Holyoak
Proceedings of the Annual Meeting of the Cognitive Science Society 32 (32), 2010
12010
Bayesian Models of Learning and Reasoning with Relations
D Chen
University of California, Los Angeles, 2014
2014
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Articles 1–14