More from the Same Authors

• 2021 : Compositional with Kevin Ellis, Judith Fan, Brenden Lake, Josh Tenenbaum »
  Kevin Ellis · Judith Fan · Brenden Lake · Josh Tenenbaum · Zenna Tavares
• 2021 : Panel I: Human decisions »
  Jennifer Trueblood · Alex Peysakhovich · Angela Yu · Ori Plonsky · Tal Yarkoni · Daniel Bjorkegren
• 2021 Poster: Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning »
  Maxwell Nye · Michael Tessler · Josh Tenenbaum · Brenden Lake
• 2021 Poster: Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others »
  Kanishk Gandhi · Gala Stojnic · Brenden Lake · Moira R. Dillon
• 2020 Poster: A Benchmark for Systematic Generalization in Grounded Language Understanding »
  Laura Ruis · Jacob Andreas · Marco Baroni · Diane Bouchacourt · Brenden Lake
• 2020 Poster: Learning Compositional Rules via Neural Program Synthesis »
  Maxwell Nye · Armando Solar-Lezama · Josh Tenenbaum · Brenden Lake
• 2020 Poster: Mutual exclusivity as a challenge for deep neural networks »
  Kanishk Gandhi · Brenden Lake
• 2020 Poster: Self-supervised learning through the eyes of a child »
  Emin Orhan · Vaibhav Gupta · Brenden Lake
• 2019 : Compositional generalization in minds and machines »
  Brenden Lake
• 2019 : Panel Discussion led by Grace Lindsay »
  Grace Lindsay · Blake Richards · Doina Precup · Jacqueline Gottlieb · Jeff Clune · Jane Wang · Richard Sutton · Angela Yu · Ida Momennejad
• 2019 : Invited Talk #6: Features or Bugs: Synergistic Idiosyncrasies in Human Learning and Decision-Making »
  Angela Yu
• 2019 Poster: Compositional generalization through meta sequence-to-sequence learning »
  Brenden Lake
• 2018 Poster: Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task »
  Dalin Guo · Angela Yu
• 2018 Poster: Learning Deep Disentangled Embeddings With the F-Statistic Loss »
  Karl Ridgeway · Michael Mozer
• 2018 Poster: Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation »
  Chaitanya Ryali · Gautam Reddy · Angela Yu
• 2018 Poster: Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning »
  Tyler Scott · Karl Ridgeway · Michael Mozer
• 2018 Poster: Beauty-in-averageness and its contextual modulations: A Bayesian statistical account »
  Chaitanya Ryali · Angela Yu
• 2018 Poster: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding »
  Nan Rosemary Ke · Anirudh Goyal · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio
• 2018 Spotlight: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding »
  Nan Rosemary Ke · Anirudh Goyal · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio
• 2018 Spotlight: Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning »
  Tyler Scott · Karl Ridgeway · Michael Mozer
• 2017 : Access consciousness and the construction of actionable representations »
  Michael C Mozer
• 2017 : Computational modeling of human face processing »
  Angela Yu
• 2017 : Cognitive AI »
  Brenden Lake
• 2017 Workshop: Cognitively Informed Artificial Intelligence: Insights From Natural Intelligence »
  Michael Mozer · Brenden Lake · Angela Yu
• 2017 Poster: Question Asking as Program Generation »
  Anselm Rothe · Brenden Lake · Todd Gureckis
• 2016 : Overcoming temptation: Incentive design for intertemporal choice »
  Michael Mozer
• 2016 : Opening Remarks, Invited Talk: Michael C. Mozer »
  Michael Mozer
• 2015 Poster: Softstar: Heuristic-Guided Probabilistic Inference »
  Mathew Monfort · Brenden M Lake · Brenden Lake · Brian Ziebart · Patrick Lucey · Josh Tenenbaum
• 2014 Workshop: Human Propelled Machine Learning »
  Richard Baraniuk · Michael Mozer · Divyanshu Vats · Christoph Studer · Andrew E Waters · Andrew Lan
• 2014 Poster: Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning »
  Robert Lindsey · Mohammad Khajah · Michael Mozer
• 2013 Poster: Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting »
  Shunan Zhang · Angela Yu
• 2013 Poster: Context-sensitive active sensing in humans »
  Sheeraz Ahmad · He Huang · Angela Yu
• 2013 Poster: Optimizing Instructional Policies »
  Robert Lindsey · Michael Mozer · William J Huggins · Harold Pashler
• 2013 Oral: Optimizing Instructional Policies »
  Robert Lindsey · Michael Mozer · William J Huggins · Harold Pashler
• 2012 Workshop: Personalizing education with machine learning »
  Michael Mozer · javier r movellan · Robert Lindsey · Jacob Whitehill
• 2012 Poster: Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making »
  Pradeep Shenoy · Angela Yu
• 2012 Oral: Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making »
  Pradeep Shenoy · Angela Yu
• 2011 Poster: An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments »
  Michael Mozer · Benjamin Link · Harold Pashler
• 2010 Oral: A rational decision making framework for inhibitory control »
  Pradeep Shenoy · Rajesh PN Rao · Angela Yu
• 2010 Spotlight: Improving Human Judgments by Decontaminating Sequential Dependencies »
  Michael Mozer · Harold Pashler · Matthew Wilder · Robert Lindsey · Matt Jones · Michael Jones
• 2010 Poster: Improving Human Judgments by Decontaminating Sequential Dependencies »
  Michael Mozer · Harold Pashler · Matthew Wilder · Robert Lindsey · Matt Jones · Michael Jones
• 2010 Poster: A rational decision making framework for inhibitory control »
  Pradeep Shenoy · Rajesh PN Rao · Angela Yu
• 2009 Poster: Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory »
  Michael Mozer · Harold Pashler · Nicholas Cepeda · Robert Lindsey · Edward Vul
• 2009 Spotlight: Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory »
  Michael Mozer · Harold Pashler · Nicholas Cepeda · Robert Lindsey · Edward Vul
• 2009 Poster: Sequential effects reflect parallel learning of multiple environmental regularities »
  Matthew Wilder · Matt Jones · Michael Mozer
• 2008 Poster: Optimal Response Initiation: Why Recent Experience Matters »
  Matt Jones · Michael Mozer · Sachiko Kinoshita
• 2008 Poster: Sequential effects: Superstition or rational behavior? »
  Angela Yu · Jonathan D Cohen
• 2008 Spotlight: Sequential effects: Superstition or rational behavior? »
  Angela Yu · Jonathan D Cohen
• 2008 Spotlight: Optimal Response Initiation: Why Recent Experience Matters »
  Matt Jones · Michael Mozer · Sachiko Kinoshita
• 2008 Poster: Temporal Dynamics of Cognitive Control »
  Jeremy Reynolds · Michael Mozer
• 2007 Spotlight: Sequential Hypothesis Testing under Stochastic Deadlines »
  Peter Frazier · Angela Yu
• 2007 Spotlight: Experience-Guided Search: A Theory of Attentional Control »
  Michael Mozer · David Baldwin
• 2007 Poster: Sequential Hypothesis Testing under Stochastic Deadlines »
  Peter Frazier · Angela Yu
• 2007 Poster: Experience-Guided Search: A Theory of Attentional Control »
  Michael Mozer · David Baldwin
• 2006 Poster: Context Effects in Category Learning: An Investigation of Four Probabilistic Models »
  Michael Mozer · Michael Jones · Michael Shettel
• 2006 Poster: Optimal Change-Detection and Spiking Neurons »
  Angela Yu