Joseph L. Austerweil

According to our database, Joseph L. Austerweil authored at least 40 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners.

Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu

CoRR, 2020

Interactions Between Categorization and Intuitive Physics.

Anantha Rao, Joseph L. Austerweil

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

The "Fraction Sense" Emerges from a Deep Convolutional Neural Network.

Yun-Shiuan Chuang, Edward Hubbard, Joseph L. Austerweil

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

2019

Analyzing Knowledge Retrieval Impairments Associated with Alzheimer's Disease Using Network Analyses.

Jeffrey C. Zemla, Joseph L. Austerweil

Complex., 2019

Learning How to Generalize.

Joseph L. Austerweil, Sophia Sanborn, Thomas L. Griffiths

Cogn. Sci., 2019

Subjective Randomness in a Non-cooperative Game.

Michael Payton, Jeffrey C. Zemla, Joseph L. Austerweil

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Novel categories are distinct from "Not"-categories.

Shi Xian Liew, Joseph L. Austerweil

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Evaluating Theories of Collaborative Cognition Using the Hawkes Process and a Large Naturalistic Data Set.

Mohsen Afrasiabi, Mark G. Orr, Joseph L. Austerweil

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Possible Mechanisms of Bilingual Advantage on Creativity.

Kendra Lange, Elise Hopman, Elizabeth Pettit, Anantha Rao, Nicole M. Beckage, Jeffrey C. Zemla, Joseph L. Austerweil

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

Predictors of L2 word learning accuracy: A big data investigation.

Elise Hopman, Bill Thompson, Joseph L. Austerweil, Gary Lupyan

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

Effectively Learning from Pedagogical Demonstrations.

Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil

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

Do Humans Navigate via Random Walks? Modeling Navigation in a Semantic Word Game.

Mohammad Isyroqi Fathan, Eli K. Renfro, Joseph L. Austerweil, Nicole M. Beckage

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

Bayesian Generalization of Emojis.

Jacqueline Erens, Joseph L. Austerweil

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

Rapid Learning in Early Attentional Processing: Bayesian Estimation of Trial-by-Trial Updating.

Aaron Cochrane, Joseph L. Austerweil, Vanessa R. Simmering, C. Shawn Green

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

2017

Modeling Semantic Fluency Data as Search on a Semantic Network.

Jeffrey C. Zemla, Joseph L. Austerweil

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Mental Representations and Computational Modeling of Context-Specific Human Norm Systems.

Vasanth Sarathy, Matthias Scheutz, Yoed N. Kenett, Mowafak Allaham, Joseph L. Austerweil, Bertram F. Malle

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Interpreting Asymmetric Perception in Speech Perception with Bayesian Inference.

Jie Ren, Joseph L. Austerweil

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Teaching by Intervention: Working Backwards, Undoing Mistakes, or Correcting Mistakes?

Mark K. Ho, Michael L. Littman, Joseph L. Austerweil

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

PACKER: An Exemplar Model of Category Generation.

Nolan Conaway, Joseph L. Austerweil

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Showing versus doing: Teaching by demonstration.

Mark K. Ho, Michael L. Littman, James MacGlashan, Fiery Cushman, Joseph L. Austerweil

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

U-INVITE: Estimating Individual Semantic Networks from Fluency Data.

Jeffrey C. Zemla, Yoed N. Kenett, Kwang-Sung Jun, Joseph L. Austerweil

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

The construction of function representations.

Brian Montambault, Christopher Lucas, Joseph L. Austerweil

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

Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction.

Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum

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

Examining Search Processes in Low and High Creative Individuals with Random Walks.

Yoed N. Kenett, Joseph L. Austerweil

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

Feature-based Joint Planning and Norm Learning in Collaborative Games.

Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil

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

The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of Color.

Emily Cibelli, Yang Xu, Joseph L. Austerweil, Thomas L. Griffiths, Terry Regier

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

2015

Learning Additive and Substitutive Features.

Ting Qian, Joseph L. Austerweil

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Teaching with Rewards and Punishments: Reinforcement or Communication?

Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Testing the psychological validity of cluster construction biases.

Joseph L. Austerweil

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

2013

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.

Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Human memory search as a random walk in a semantic network.

Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Comparing the inductive biases of simple neural networks and Bayesian models.

Thomas L. Griffiths, Joseph L. Austerweil, Vincent G. Berthiaume

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Constructing a hypothesis space from the Web for large-scale Bayesian word learning.

Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Seeking Confirmation Is Rational for Deterministic Hypotheses.

Joseph L. Austerweil, Thomas L. Griffiths

Cogn. Sci., 2011

An ideal observer model for identifying the reference frame of objects.

Joseph L. Austerweil, Abram L. Friesen, Thomas L. Griffiths

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Grow your own representations: Computational constructivism.

Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Learning invariant features using the Transformed Indian Buffet Process.

Joseph L. Austerweil, Thomas L. Griffiths

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008

Analyzing human feature learning as nonparametric Bayesian inference.

Joseph L. Austerweil, Thomas L. Griffiths

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

A Unified Local and Global Model for Discourse Coherence.

Micha Elsner, Joseph L. Austerweil, Eugene Charniak

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

2006

Multilevel Coarse-to-Fine PCFG Parsing.

Eugene Charniak, Mark Johnson, Micha Elsner, Joseph L. Austerweil, David A. Ellis, Isaac Haxton, Catherine Hill, R. Shrivaths, Jeremy Moore, Michael Pozar, Theresa Vu

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006