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
Optimal cooperative inference
SCH Yang, Y Yu, P Wang, WK Vong, P Shafto
International Conference on Artificial Intelligence and Statistics, 376-385, 2018
112018
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
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
72019
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
52018
Mitigating belief projection in explainable artificial intelligence via Bayesian teaching
SCH Yang, WK Vong, RB Sojitra, T Folke, P Shafto
Scientific reports 11 (1), 1-17, 2021
32021
Learning word-referent mappings and concepts from raw inputs
WK Vong, BM Lake
arXiv preprint arXiv:2003.05573, 2020
22020
The relevance of labels in semi-supervised learning depends on category structure
WK Vong, A Perfors, DJ Navarro
Cognitive Science Society, 2014
22014
Cross-situational word learning from naturalistic headcam data
WK Vong, E Orhan, B Lake
34th CUNY Conference on Human Sentence Processing, 2021
12021
Fast and flexible: Human program induction in abstract reasoning tasks
A Johnson, WK Vong, BM Lake, TM Gureckis
arXiv preprint arXiv:2103.05823, 2021
2021
The effects of information utility and teachers’ knowledge on evaluations of under-informative pedagogy across development
I Bass, E Bonawitz, D Hawthorne, WK Vong, N Goodman, H Gweon
PsyArXiv, 2021
2021
Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks
AR Tartaglini, WK Vong, BM Lake
2021
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 1–18