Joshua T. Abbott

According to our database, Joshua T. Abbott authored at least 16 papers between 2011 and 2020.

Collaborative distances:

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

2020

Birds and Words: Exploring environmental influences on folk categorization.

Joshua T. Abbott, Charles Kemp

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

2018

Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.

Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths

Cogn. Sci., 2018

Recommendation as Generalization: Evaluating Cognitive Models In the Wild.

David Bourgin, Joshua T. Abbott, Tom Griffiths

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

2017

Leveraging deep neural networks to capture psychological representations.

Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths

CoRR, 2017

Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report.

Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Statistical models of learning and using semantic representations.

Joshua T. Abbott

PhD thesis, 2016

Exploring Human Cognition Using Large Image Databases.

Thomas L. Griffiths, Joshua T. Abbott, Anne S. Hsu

Top. Cogn. Sci., 2016

Adapting Deep Network Features to Capture Psychological Representations.

Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths

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

2014

Empirical Evidence for Markov Chain Monte Carlo in Memory Search.

David Bourgin, Joshua T. Abbott, Thomas L. Griffiths, Kevin A. Smith, Ed Vul

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

Approximating Bayesian inference with a sparse distributed memory system.

Joshua T. Abbott, Jessica B. Hamrick, Thomas L. Griffiths

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

Predicting focal colors with a rational model of representativeness.

Joshua T. Abbott, Terry Regier, Thomas L. Griffiths

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

Testing a Bayesian Measure of Representativeness Using a Large Image Database.

Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, 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

Exploring the influence of particle filter parameters on order effects in causal learning.

Joshua T. Abbott, Thomas L. Griffiths

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