Wai Keen Vong
Title
Cited by
Cited by
Year
The helpfulness of category labels in semi-supervised learning depends on category structure
WK Vong, DJ Navarro, A Perfors
Psychonomic bulletin & review 23 (1), 230-238, 2016
142016
Learning time-varying categories
DJ Navarro, A Perfors, WK Vong
Memory & cognition 41 (6), 917-927, 2013
102013
The role of sampling assumptions in generalization with multiple categories
WK Vong, AT Hendrickson, A Perfors, DJ Navarro
92013
Optimal cooperative inference
SCH Yang, Y Yu, P Wang, WK Vong, P Shafto
International Conference on Artificial Intelligence and Statistics, 376-385, 2018
82018
A unifying computational framework for teaching and active learning
SCH Yang, WK Vong, Y Yu, P Shafto
Topics in cognitive science 11 (2), 316-337, 2019
62019
Do additional features help or hurt category learning? The curse of dimensionality in human learners
WK Vong, AT Hendrickson, DJ Navarro, A Perfors
Cognitive science 43 (3), e12724, 2019
52019
Bayesian Teaching of Image Categories.
WK Vong, RB Sojitra, A Reyes, SCH Yang, P Shafto
CogSci, 2018
22018
The relevance of labels in semi-supervised learning depends on category structure
WK Vong, A Perfors, DJ Navarro
Cognitive Science Society, 2014
22014
Learning word-referent mappings and concepts from raw inputs
WK Vong, BM Lake
arXiv preprint arXiv:2003.05573, 2020
12020
Method For Selecting And Presenting Examples To Explain Decisions Of Algorithms
P Shafto, SCH Yang, WK Vong, R Sojitra
US Patent App. 16/697,870, 2020
2020
Explainable Decisions of Algorithms Using Examples
P Shafto, SCH Yang, W Vong, R Sojitra
2019
From simple to complex categories: how structure and label information guides the acquisition of category knowledge
WK Vong
2018
Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners
WK Vong, AT Hendrickson, A Perfors, DJ Navarro
2016
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Articles 1–13