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ORCIDJoshua T. Abbott
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2020 – today
- 2020
[c12]Joshua T. Abbott, Charles Kemp:
Birds and Words: Exploring environmental influences on folk categorization. CogSci 2020
2010 – 2019
- 2018
- [j2]Joshua C. Peterson
, Joshua T. Abbott, Thomas L. Griffiths:
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations. Cogn. Sci. 42(8): 2648-2669 (2018) - [c11]David Bourgin, Joshua T. Abbott, Tom Griffiths:
Recommendation as Generalization: Evaluating Cognitive Models In the Wild. CogSci 2018 - 2017
- [c10]Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths:
Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report. IJCAI 2017: 4934-4938 - [i2]Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths:
Leveraging deep neural networks to capture psychological representations. CoRR abs/1706.02417 (2017) - 2016
- [b1]Joshua T. Abbott:
Statistical models of learning and using semantic representations. University of California, Berkeley, USA, 2016 - [j1]Thomas L. Griffiths, Joshua T. Abbott, Anne S. Hsu:
Exploring Human Cognition Using Large Image Databases. Top. Cogn. Sci. 8(3): 569-588 (2016) - [c9]Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths:
Adapting Deep Network Features to Capture Psychological Representations. CogSci 2016 - [i1]Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths:
Adapting Deep Network Features to Capture Psychological Representations. CoRR abs/1608.02164 (2016) - 2014
- [c8]David Bourgin, Joshua T. Abbott, Thomas L. Griffiths, Kevin A. Smith, Ed Vul:
Empirical Evidence for Markov Chain Monte Carlo in Memory Search. CogSci 2014 - 2013
- [c7]Joshua T. Abbott, Jessica B. Hamrick, Thomas L. Griffiths:
Approximating Bayesian inference with a sparse distributed memory system. CogSci 2013 - [c6]Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell:
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies. NIPS 2013: 1842-1850 - 2012
- [c5]Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths:
Constructing a hypothesis space from the Web for large-scale Bayesian word learning. CogSci 2012 - [c4]Joshua T. Abbott, Terry Regier, Thomas L. Griffiths:
Predicting focal colors with a rational model of representativeness. CogSci 2012 - [c3]Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths:
Human memory search as a random walk in a semantic network. NIPS 2012: 3050-3058 - 2011
- [c2]Joshua T. Abbott, Thomas L. Griffiths:
Exploring the influence of particle filter parameters on order effects in causal learning. CogSci 2011 - [c1]Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Thomas L. Griffiths:
Testing a Bayesian Measure of Representativeness Using a Large Image Database. NIPS 2011: 2321-2329
Coauthor Index
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