Mitigating belief projection in explainable artificial intelligence via Bayesian teaching SCH Yang, WK Vong, RB Sojitra, T Folke, P Shafto Scientific reports 11 (1), 9863, 2021 | 56 | 2021 |
Abstract visual reasoning with tangram shapes A Ji, N Kojima, N Rush, A Suhr, WK Vong, RD Hawkins, Y Artzi arXiv preprint arXiv:2211.16492, 2022 | 33 | 2022 |
Fast and flexible: Human program induction in abstract reasoning tasks A Johnson, WK Vong, BM Lake, TM Gureckis arXiv preprint arXiv:2103.05823, 2021 | 33 | 2021 |
Grounded language acquisition through the eyes and ears of a single child WK Vong, W Wang, AE Orhan, BM Lake Science 383 (6682), 504-511, 2024 | 31 | 2024 |
Optimal cooperative inference SCH Yang, Y Yu, P Wang, WK Vong, P Shafto International Conference on Artificial Intelligence and Statistics, 376-385, 2018 | 29 | 2018 |
The effects of information utility and teachers’ knowledge on evaluations of under-informative pedagogy across development I Bass, E Bonawitz, D Hawthorne-Madell, WK Vong, ND Goodman, ... Cognition 222, 104999, 2022 | 23 | 2022 |
The helpfulness of category labels in semi-supervised learning depends on category structure WK Vong, DJ Navarro, A Perfors Psychonomic Bulletin & Review 23, 230-238, 2016 | 21 | 2016 |
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 | 19 | 2019 |
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 | 16 | 2019 |
Learning time-varying categories DJ Navarro, A Perfors, WK Vong Memory & cognition 41, 917-927, 2013 | 15 | 2013 |
A developmentally-inspired examination of shape versus texture bias in machines AR Tartaglini, WK Vong, BM Lake arXiv preprint arXiv:2202.08340, 2022 | 12 | 2022 |
Cross‐Situational Word Learning With Multimodal Neural Networks WK Vong, BM Lake Cognitive science 46 (4), e13122, 2022 | 11 | 2022 |
The role of sampling assumptions in generalization with multiple categories WK Vong, AT Hendrickson, A Perfors, DJ Navarro | 11 | 2013 |
Finding Structure in One Child's Linguistic Experience W Wang, WK Vong, N Kim, BM Lake Cognitive science 47 (6), e13305, 2023 | 6 | 2023 |
Cross-situational word learning from naturalistic headcam data WK Vong, E Orhan, B Lake 34th CUNY Conference on Human Sentence Processing 2, 2021 | 6 | 2021 |
Bayesian Teaching of Image Categories. WK Vong, RB Sojitra, A Reyes, SCH Yang, P Shafto CogSci, 2018 | 6 | 2018 |
Few-shot image classification by generating natural language rules WK Vong, BM Lake ACL Workshop on Learning with Natural Language Supervision, 2022 | 5 | 2022 |
Learning word-referent mappings and concepts from raw inputs WK Vong, BM Lake arXiv preprint arXiv:2003.05573, 2020 | 4 | 2020 |
Deep neural networks can learn generalizable same-different visual relations AR Tartaglini, S Feucht, MA Lepori, WK Vong, C Lovering, BM Lake, ... arXiv preprint arXiv:2310.09612, 2023 | 3 | 2023 |
Name that state: How language affects human reinforcement learning A Radulescu, WK Vong, TM Gureckis Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 3 | 2022 |