Wai Keen Vong

According to our database, Wai Keen Vong authored at least 18 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations.

Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick

CoRR, 2023

How does the mind discover useful abstractions?

Marcelo Gomes Mattar, Judith E. Fan, Wai Keen Vong, Lionel Wong

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Cross-Situational Word Learning With Multimodal Neural Networks.

Wai Keen Vong, Brenden M. Lake

Cogn. Sci., 2022

Abstract Visual Reasoning with Tangram Shapes.

Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Categorising images by generating natural language rules.

Wai Keen Vong, Brenden M. Lake

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines.

Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Name that state: How language affects human reinforcement learning.

Angela Radulescu, Wai Keen Vong, Todd M. Gureckis

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching.

Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto

CoRR, 2021

Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks.

Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Fast and Flexible: Human program induction in abstract reasoning tasks.

Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Learning word-referent mappings and concepts from raw inputs.

Wai Keen Vong, Brenden M. Lake

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

A Unifying Computational Framework for Teaching and Active Learning.

Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto

Top. Cogn. Sci., 2019

Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners.

Wai Keen Vong, Andrew T. Hendrickson, Danielle J. Navarro, Amy Perfors

Cogn. Sci., 2019

2018

Bayesian Teaching of Image Categories.

Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Optimal Cooperative Inference.

Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners.

Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2014

The relevance of labels in semi-supervised learning depends on category structure.

Wai Keen Vong, Amy Perfors, Daniel J. Navarro

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

The role of sampling assumptions in generalization with multiple categories.

Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013