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Recent work in computer vision and cognitive reasoning has given rise to an increasing adoption of the Violation-of-Expectation (VoE) paradigm in synthetic datasets.
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Jacob Cohen · 1960
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J Richard Landis and Gary G Koch · 1977
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Object permanence in five-month-old infants
Renée Baillargeon, Elizabeth S Spelke, and Stanley Wasserman · 1985
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Why do young infants fail to search for hidden objects?
Renée Baillargeon, Marcia Graber, Julia Devos, and James Black · 1990
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Object permanence in young infants: Further evidence
Renée Baillargeon and Julie DeVos · 1991
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The development of young infants’ intuitions about support
Renée Baillargeon, Amy Needham, and Julie DeVos · 1992
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The reviewing of object files: Object-specific integration of information
Daniel Kahneman, Anne Treisman, and Brian J Gibbs · 1992
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Origins of knowledge
Elizabeth S Spelke, Karen Breinlinger, Janet Macomber, and Kristen Jacobson · 1992
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Calibration-based reasoning about collision events in 11-month-old infants
Laura Kotovsky and Renée Baillargeon · 1994
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Spatiotemporal continuity, smoothness of motion and object identity in infancy
Elizabeth S Spelke, Roberta Kestenbaum, Daniel J Simons, and Debra Wein · 1995
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What’s in an object file? evidence from priming studies
Robert D Gordon and David E Irwin · 1996
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The development of calibration-based reasoning about collision events in young infants
Laura Kotovsky and Renée Baillargeon · 1998
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Infants selectively encode the goal object of an actor’s reach
Amanda L Woodward · 1998
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2.5-month-old infants’ reasoning about when objects should and should not be occluded
Andréa Aguiar and Renée Baillargeon · 1999
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Development of infants’ intuitions about support relations: Sensitivity to stability
Naoko Dan, Takahide Omori, and Yoshikazu Tomiyasu · 2000
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Detecting continuity violations in infancy: A new account and new evidence from covering and tube events
Su-hua Wang, Renée Baillargeon, and Sarah Paterson · 2005
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An introduction to roc analysis
Tom Fawcett · 2006
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Core knowledge
Elizabeth S Spelke and Katherine D Kinzler · 2007
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Young infants’ actions reveal their developing knowledge of support variables: Converging evidence for violation-of-expectation findings
Susan J Hespos and Renée Baillargeon · 2008
Cited alongside, same era.
How do infants reason about physical events?
Renée Baillargeon, Jie Li, Yael Gertner, and Di Wu · 2011
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Mapping the landscape of human-level artificial general intelligence
Sam Adams, Itmar Arel, Joscha Bach, Robert Coop, Rod Furlan, Ben Goertzel, J Storrs Hall, Alexei Samsonovich, Matthias Scheutz, Matthew Schlesinger, et al · 2012
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Simulation as an engine of physical scene understanding
Peter W Battaglia, Jessica B Hamrick, and Joshua B Tenenbaum · 2013
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A compositional object-based approach to learning physical dynamics
Michael B Chang, Tomer Ullman, Antonio Torralba, and Joshua B Tenenbaum · 2016
Cited alongside, same era.
Answering visual what-if questions: From actions to predicted scene descriptions
Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, and Ales Leonardis · 2018
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A short note on the kinetics-700 human action dataset
Joao Carreira, Eric Noland, Chloe Hillier, and Andrew Zisserman · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Modeling expectation violation in intuitive physics with coarse probabilistic object representations
Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth Spelke, Josh Tenenbaum, and Tomer Ullman · 2019
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Catastrophic individuation failures in infancy: A new model and predictions
Maayan Stavans, Yi Lin, Di Wu, and Renée Baillargeon · 2019
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Learning physical intuition of block towers by example
Adam Lerer, Sam Gross, and Rob Fergus · 2016
Cited alongside, same era.
“what happens if…” learning to predict the effect of forces in images
Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, and Ali Farhadi · 2016
Cited alongside, same era.
Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T Freeman, and Joshua B Tenenbaum · 2016
Cited alongside, same era.
Explanation-based learning in infancy
Renée Baillargeon and Gerald F DeJong · 2017
Cited alongside, same era.
Classification and regression trees
Leo Breiman, Jerome H Friedman, Richard A Olshen, and Charles J Stone · 2017
Cited alongside, same era.
Building machines that learn and think like people
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, and Samuel J Gershman · 2017
Cited alongside, same era.
Visual question answering: A survey of methods and datasets
Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony Dick, and Anton van den Hengel · 2017
Cited alongside, same era.
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Clevrer: Collision events for video representation and reasoning
Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, and Joshua B Tenenbaum · 2019
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Craft: A benchmark for causal reasoning about forces and interactions
Tayfun Ates, Muhammed Samil Atesoglu, Cagatay Yigit, Ilker Kesen, Mert Kobas, Erkut Erdem, Aykut Erdem, Tilbe Goksun, and Deniz Yuret · 2020
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Infants’ physical reasoning and the cognitive architecture that supports it, 2020
Yi Lin, Maayan Stavans, and Renée Baillargeon · 2020
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The fine structure of surprise in intuitive physics: when, why, and how much?
Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S Spelke, Josh Tenenbaum, and Tomer D Ullman · 2020
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Bayesian models of conceptual development: Learning as building models of the world
Tomer D Ullman and Joshua B Tenenbaum · 2020
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Physion: Evaluating physical prediction from vision in humans and machines
Daniel M Bear, Elias Wang, Damian Mrowca, Felix J Binder, Hsiau-Yu Fish Tung, RT Pramod, Cameron Holdaway, Sirui Tao, Kevin Smith, Li Fei-Fei, et al · 2021
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Space: A simulator for physical interactions and causal learning in 3d environments
Jiafei Duan, Samson Yu Bai Jian, and Cheston Tan · 2021
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Pip: Physical interaction prediction via mental imagery with span selection
Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, and Cheston Tan · 2021
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A survey of embodied ai: From simulators to research tasks
Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, and Cheston Tan · 2021
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Baby intuitions benchmark (bib): Discerning the goals, preferences, and actions of others
Kanishk Gandhi, Gala Stojnic, Brenden M Lake, and Moira R Dillon · 2021
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A striking take on mass inferences from collisions
Alex Mitko and Jason Fischer · 2021
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Agent: A benchmark for core psychological reasoning
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua Tenenbaum, and Tomer Ullman · 2021
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