Timezone: »
Poster
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Mod
Mark Johnson · Tom Griffiths · Sharon Goldwater
Author Information
Mark Johnson (Macquarie University)
Tom Griffiths (Princeton)
Sharon Goldwater (University of Edinburgh)
More from the Same Authors
-
2021 Poster: Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation »
Yufei Wang · Can Xu · Huang Hu · Chongyang Tao · Stephen Wan · Mark Dras · Mark Johnson · Daxin Jiang -
2018 : Research Panel »
Sinead Williamson · Barbara Engelhardt · Tom Griffiths · Neil Lawrence · Hanna Wallach -
2018 Poster: Partially-Supervised Image Captioning »
Peter Anderson · Stephen Gould · Mark Johnson -
2017 : Revealing human inductive biases and metacognitive processes with rational models »
Tom Griffiths -
2017 Poster: A graph-theoretic approach to multitasking »
Noga Alon · Daniel Reichman · Igor Shinkar · Tal Wagner · Sebastian Musslick · Jonathan D Cohen · Tom Griffiths · Biswadip dey · Kayhan Ozcimder -
2017 Oral: A graph-theoretic approach to multitasking »
Noga Alon · Daniel Reichman · Igor Shinkar · Tal Wagner · Sebastian Musslick · Jonathan D Cohen · Tom Griffiths · Biswadip dey · Kayhan Ozcimder -
2016 : Bounded Optimality and Rational Metareasoning in Human Cognition »
Tom Griffiths -
2015 Workshop: Bounded Optimality and Rational Metareasoning »
Samuel J Gershman · Falk Lieder · Tom Griffiths · Noah Goodman -
2014 Poster: Algorithm selection by rational metareasoning as a model of human strategy selection »
Falk Lieder · Dillon Plunkett · Jessica B Hamrick · Stuart J Russell · Nicholas Hay · Tom Griffiths -
2013 Poster: Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies »
Yangqing Jia · Joshua T Abbott · Joseph L Austerweil · Tom Griffiths · Trevor Darrell -
2012 Poster: Human memory search as a random walk in a semantic network »
Joshua T Abbott · Joseph L Austerweil · Tom Griffiths -
2012 Spotlight: Human memory search as a random walk in a semantic network »
Joshua T Abbott · Joseph L Austerweil · Tom Griffiths -
2012 Poster: Burn-in, bias, and the rationality of anchoring »
Falk Lieder · Tom Griffiths · Noah Goodman -
2011 Poster: A rational model of causal inference with continuous causes »
M Pacer · Tom Griffiths -
2011 Poster: An ideal observer model for identifying the reference frame of objects »
Joseph L Austerweil · Abram Friesen · Tom Griffiths -
2011 Poster: Testing a Bayesian Measure of Representativeness Using a Large Image Database »
Joshua T Abbott · Katherine Heller · Zoubin Ghahramani · Tom Griffiths -
2010 Workshop: Transfer Learning Via Rich Generative Models. »
Russ Salakhutdinov · Ryan Adams · Josh Tenenbaum · Zoubin Ghahramani · Tom Griffiths -
2010 Spotlight: Learning invariant features using the Transformed Indian Buffet Process »
Joseph L Austerweil · Tom Griffiths -
2010 Spotlight: Synergies in learning words and their referents »
Mark Johnson · Katherine Demuth · Michael C Frank · Bevan K Jones -
2010 Poster: Learning invariant features using the Transformed Indian Buffet Process »
Joseph L Austerweil · Tom Griffiths -
2010 Poster: Synergies in learning words and their referents »
Mark Johnson · Katherine Demuth · Michael C Frank · Bevan K Jones -
2009 Workshop: Bounded-rational analyses of human cognition: Bayesian models, approximate inference, and the brain »
Noah Goodman · Edward Vul · Tom Griffiths · Josh Tenenbaum -
2009 Poster: Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling »
Lei ShiUpdateMe · Tom Griffiths -
2009 Spotlight: Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling »
Lei ShiUpdateMe · Tom Griffiths -
2009 Poster: Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning »
Anne Hsu · Tom Griffiths -
2009 Oral: Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning »
Anne Hsu · Tom Griffiths -
2009 Poster: Nonparametric Latent Feature Models for Link Prediction »
Kurt T Miller · Tom Griffiths · Michael Jordan -
2009 Spotlight: Nonparametric Latent Feature Models for Link Prediction »
Kurt T Miller · Tom Griffiths · Michael Jordan -
2008 Workshop: Machine learning meets human learning »
Nathaniel D Daw · Tom Griffiths · Josh Tenenbaum · Jerry Zhu -
2008 Poster: Modeling the effects of memory on human online sentence processing with particle filters »
Roger Levy · Florencia Reali · Tom Griffiths -
2008 Oral: Modeling the effects of memory on human online sentence processing with particle filters »
Roger Levy · Florencia Reali · Tom Griffiths -
2008 Poster: How memory biases affect information transmission: A rational analysis of serial reproduction »
Jing Xu · Tom Griffiths -
2008 Poster: Analyzing human feature learning as nonparametric Bayesian inference »
Joseph L Austerweil · Tom Griffiths -
2008 Poster: A rational model of preference learning and choice prediction by children »
Chris Lucas · Tom Griffiths · Fei Xu · Christine Fawcett -
2008 Spotlight: Analyzing human feature learning as nonparametric Bayesian inference »
Joseph L Austerweil · Tom Griffiths -
2008 Spotlight: A rational model of preference learning and choice prediction by children »
Chris Lucas · Tom Griffiths · Fei Xu · Christine Fawcett -
2008 Spotlight: How memory biases affect information transmission: A rational analysis of serial reproduction »
Jing Xu · Tom Griffiths -
2008 Poster: Modeling human function learning with Gaussian processes »
Tom Griffiths · Chris Lucas · Joseph Jay Williams · Michael Kalish -
2007 Oral: Markov Chain Monte Carlo with People »
Adam Sanborn · Tom Griffiths -
2007 Poster: Markov Chain Monte Carlo with People »
Adam Sanborn · Tom Griffiths -
2007 Spotlight: A Bayesian LDA-based model for semi-supervised part-of-speech tagging »
Kristina N Toutanova · Mark Johnson -
2007 Poster: A Bayesian LDA-based model for semi-supervised part-of-speech tagging »
Kristina N Toutanova · Mark Johnson -
2007 Poster: A Probabilistic Approach to Language Change »
Alexandre Bouchard-Côté · Percy Liang · Tom Griffiths · Dan Klein -
2006 Poster: Particle Filtering for Nonparametric Bayesian Matrix Factorization »
Frank Wood · Tom Griffiths -
2006 Poster: A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments »
Daniel Navarro · Tom Griffiths