Wai Keen Vong

According to our database1, Wai Keen Vong authored at least 20 papers between 2013 and 2024.

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Bibliography

2024
H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark.
CoRR, 2024

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects.
CoRR, 2024

2023
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations.
CoRR, 2023

How does the mind discover useful abstractions?
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Cross-Situational Word Learning With Multimodal Neural Networks.
Cogn. Sci., 2022

Abstract Visual Reasoning with Tangram Shapes.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Categorising images by generating natural language rules.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Name that state: How language affects human reinforcement learning.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching.
CoRR, 2021

Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Fast and Flexible: Human program induction in abstract reasoning tasks.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Learning word-referent mappings and concepts from raw inputs.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
A Unifying Computational Framework for Teaching and Active Learning.
Top. Cogn. Sci., 2019

Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners.
Cogn. Sci., 2019

2018
Bayesian Teaching of Image Categories.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Optimal Cooperative Inference.
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.
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.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
The role of sampling assumptions in generalization with multiple categories.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013


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