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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 12 occurrences of 11 keywords
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Results
Found 55 publication records. Showing 55 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Samuel Gershman, Edward Vul, Joshua B. Tenenbaum |
Multistability and Perceptual Inference.  |
Neural Computation  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik |
Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults. |
Cognitive Science |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
Bayesian Policy Search with Policy Priors. |
IJCAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy |
Infinite Dynamic Bayesian Networks. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum |
Learning to share visual appearance for multiclass object detection. |
CVPR |
2011 |
DBLP DOI BibTeX RDF |
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| 1 | Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba |
Learning to Learn with Compound HD Models. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum |
Learning to Learn Causal Models. |
Cognitive Science |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum |
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis. |
NIPS |
2010 |
DBLP BibTeX RDF |
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| 1 | Finale Doshi-Velez, David Wingate, Nicholas Roy, Joshua B. Tenenbaum |
Nonparametric Bayesian Policy Priors for Reinforcement Learning. |
NIPS |
2010 |
DBLP BibTeX RDF |
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| 1 | Vikash K. Mansinghka, Daniel M. Roy, Eric Jonas, Joshua B. Tenenbaum |
Exact and Approximate Sampling by Systematic Stochastic Search. |
Journal of Machine Learning Research - Proceedings Track |
2009 |
DBLP BibTeX RDF |
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| 1 | Stephani Foraker, Terry Regier, Naveen Khetarpal, Amy Perfors, Joshua B. Tenenbaum |
Indirect Evidence and the Poverty of the Stimulus: The Case of Anaphoric One. |
Cognitive Science |
2009 |
DBLP DOI BibTeX RDF |
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| 1 | David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum |
The Infinite Latent Events Model. |
UAI |
2009 |
DBLP BibTeX RDF |
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| 1 | Ed Vul, Michael Frank, George A. Alvarez, Joshua B. Tenenbaum |
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model. |
NIPS |
2009 |
DBLP BibTeX RDF |
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| 1 | Ilya Sutskever, Ruslan Salakhutdinov, Joshua B. Tenenbaum |
Modelling Relational Data using Bayesian Clustered Tensor Factorization. |
NIPS |
2009 |
DBLP BibTeX RDF |
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| 1 | Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah D. Goodman, Joshua B. Tenenbaum |
Help or Hinder: Bayesian Models of Social Goal Inference. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Samuel Gershman, Ed Vul, Joshua B. Tenenbaum |
Perceptual Multistability as Markov Chain Monte Carlo Inference. |
NIPS |
2009 |
DBLP BibTeX RDF |
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| 1 | Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman, Thomas L. Griffiths |
A Rational Analysis of Rule-Based Concept Learning. |
Cognitive Science |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | Mike Dowman, Virginia Savova, Thomas L. Griffiths, Konrad P. Körding, Joshua B. Tenenbaum, Matthew Purver |
A Probabilistic Model of Meetings That Combines Words and Discourse Features. |
IEEE Transactions on Audio, Speech & Language Processing |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Keith Bonawitz, Joshua B. Tenenbaum |
Church: a language for generative models. |
UAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum |
Building Theories of the World: Human and Machine Learning Perspectives. |
ILP |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin, Joshua B. Tenenbaum |
AClass: A simple, online, parallelizable algorithm for probabilistic classification. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
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| 1 | Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum |
Parametric Embedding for Class Visualization. |
Neural Computation |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael Frank, Noah D. Goodman, Joshua B. Tenenbaum |
A Bayesian Framework for Cross-Situational Word-Learning. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum |
Learning and using relational theories. |
NIPS |
2007 |
DBLP BibTeX RDF |
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| 1 | Matthew Purver, Konrad P. Körding, Thomas L. Griffiths, Joshua B. Tenenbaum |
Unsupervised Topic Modelling for Multi-Party Spoken Discourse. |
ACL |
2006 |
DBLP BibTeX RDF |
|
| 1 | Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum |
Structured Priors for Structure Learning. |
UAI |
2006 |
DBLP BibTeX RDF |
|
| 1 | Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda |
Learning Systems of Concepts with an Infinite Relational Model. |
AAAI |
2006 |
DBLP BibTeX RDF |
|
| 1 | Konrad P. Körding, Joshua B. Tenenbaum |
Causal inference in sensorimotor integration. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum |
Combining causal and similarity-based reasoning. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka, Joshua B. Tenenbaum |
Learning annotated hierarchies from relational data. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr |
Multiple timescales and uncertainty in motor adaptation. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Mark Steyvers, Joshua B. Tenenbaum |
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth. |
Cognitive Science |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Chris Baker, Joshua B. Tenenbaum, Rebecca Saxe |
Bayesian models of human action understanding. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik |
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers. |
Cognitive Science |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum |
Parametric Embedding for Class Visualization. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum |
Integrating Topics and Syntax. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | William T. Freeman, Joshua B. Tenenbaum, Egon C. Pasztor |
Learning style translation for the lines of a drawing. |
ACM Trans. Graph. |
2003 |
DBLP DOI BibTeX RDF |
style translation, drawings, Style, lines |
| 1 | Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers, Ben Blum |
Inferring causal networks from observations and interventions. |
Cognitive Science |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum |
Hierarchical Topic Models and the Nested Chinese Restaurant Process. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Thomas L. Griffiths, Joshua B. Tenenbaum |
From Algorithmic to Subjective Randomness. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum |
Semi-Supervised Learning with Trees. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | David Danks, Thomas L. Griffiths, Joshua B. Tenenbaum |
Dynamical Causal Learning. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum, Thomas L. Griffiths |
Theory-Based Causal Inference. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Neville E. Sanjana, Joshua B. Tenenbaum |
Bayesian Models of Inductive Generalization. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Vin de Silva, Joshua B. Tenenbaum |
Global Versus Local Methods in Nonlinear Dimensionality Reduction. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Thomas L. Griffiths, Joshua B. Tenenbaum |
Using Vocabulary Knowledge in Bayesian Multinomial Estimation. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum, William T. Freeman |
Separating Style and Content with Bilinear Models. |
Neural Computation |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum, Thomas L. Griffiths |
Structure Learning in Human Causal Induction. |
NIPS |
2000 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum |
Rules and Similarity in Concept Learning. |
NIPS |
1999 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum |
Bayesian Modeling of Human Concept Learning. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | William T. Freeman, Joshua B. Tenenbaum |
Learning bilinear models for two-factor problems in vision. |
CVPR |
1997 |
DBLP DOI BibTeX RDF |
classification, learning, translation, shape-from-shading, style, color constancy, extrapolation, typography, bilinear models |
| 1 | Joshua B. Tenenbaum |
Mapping a Manifold of Perceptual Observations. |
NIPS |
1997 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum, William T. Freeman |
Separating Style and Content. |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum |
Learning the Structure of Similarity. |
NIPS |
1995 |
DBLP BibTeX RDF |
|
| 1 | Joshua B. Tenenbaum, Emanuel Todorov |
Factorial Learning by Clustering Features. |
NIPS |
1994 |
DBLP BibTeX RDF |
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