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