Wai Keen Vong - RankMe

27 papers A* 2A 1B 11Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the robustness of modeling grounded word learning through a child's egocentric input. CoRR Wai Keen Vong, Brenden M. Lake
2024	A*	`conf`	Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. NeurIPS Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
2024	J	`jnl`	Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. CoRR Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
2024	J	`jnl`	H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark. CoRR Solim LeGris, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2023	J	`jnl`	Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. CoRR Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick
2023	B	`conf`	How does the mind discover useful abstractions? CogSci Marcelo Gomes Mattar, Judith E. Fan, Wai Keen Vong, Lionel Wong
2022	B	`conf`	A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CogSci Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
2022	J	`jnl`	A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CoRR Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
2022	A*	`conf`	Abstract Visual Reasoning with Tangram Shapes. EMNLP Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi
2022	J	`jnl`	Abstract Visual Reasoning with Tangram Shapes. CoRR Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi
2022	B	`conf`	Categorising images by generating natural language rules. CogSci Wai Keen Vong, Brenden M. Lake
2022	J	`jnl`	Cross-Situational Word Learning With Multimodal Neural Networks. Cogn. Sci. Wai Keen Vong, Brenden M. Lake
2022	B	`conf`	Name that state: How language affects human reinforcement learning. CogSci Angela Radulescu, Wai Keen Vong, Todd M. Gureckis
2021	B	`conf`	Fast and Flexible: Human program induction in abstract reasoning tasks. CogSci Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2021	J	`jnl`	Fast and flexible: Human program induction in abstract reasoning tasks. CoRR Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2021	J	`jnl`	Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. CoRR Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
2021	B	`conf`	Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks. CogSci Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
2020	B	`conf`	Learning word-referent mappings and concepts from raw inputs. CogSci Wai Keen Vong, Brenden M. Lake
2020	J	`jnl`	Learning word-referent mappings and concepts from raw inputs. CoRR Wai Keen Vong, Brenden M. Lake
2019	J	`jnl`	A Unifying Computational Framework for Teaching and Active Learning. Top. Cogn. Sci. Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto
2019	J	`jnl`	Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners. Cogn. Sci. Wai Keen Vong, Andrew T. Hendrickson, Danielle J. Navarro, Amy Perfors
2018	B	`conf`	Bayesian Teaching of Image Categories. CogSci Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto
2018	A	`conf`	Optimal Cooperative Inference. AISTATS Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
2017	J	`jnl`	Optimal Cooperative Inference. CoRR Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
2016	B	`conf`	Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. CogSci Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro
2014	B	`conf`	The relevance of labels in semi-supervised learning depends on category structure. CogSci Wai Keen Vong, Amy Perfors, Daniel J. Navarro
2013	B	`conf`	The role of sampling assumptions in generalization with multiple categories. CogSci Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro