More from the Same Authors

• 2021 : Meta-learning inductive biases of learning systems with Gaussian processes »
  Michael Li · Erin Grant · Tom Griffiths
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : How to talk so AI will learn: instructions, descriptions, and pragmatics »
  Theodore Sumers · Robert Hawkins · Mark Ho · Tom Griffiths · Dylan Hadfield-Menell
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : On the informativeness of supervision signals »
  Ilia Sucholutsky · Raja Marjieh · Tom Griffiths
• 2023 : Concept Alignment »
  Sunayana Rane · Polyphony J. Bruna · Ilia Sucholutsky · Christopher T Kello · Tom Griffiths
• 2023 : Inverting cognitive models with machine learning to infer preferences from fixations »
  Evan Russek · Frederick Callaway · Tom Griffiths
• 2023 Poster: Tree of Thoughts: Deliberate Problem Solving with Large Language Models »
  Shunyu Yao · Dian Yu · Jeffrey Zhao · Izhak Shafran · Tom Griffiths · Yuan Cao · Karthik Narasimhan
• 2023 Oral: Tree of Thoughts: Deliberate Problem Solving with Large Language Models »
  Shunyu Yao · Dian Yu · Jeffrey Zhao · Izhak Shafran · Tom Griffiths · Yuan Cao · Karthik Narasimhan
• 2023 Poster: Alignment with human representations supports robust few-shot learning »
  Ilia Sucholutsky · Tom Griffiths
• 2023 Poster: Im-Promptu: In-Context Composition from Image Prompts »
  Bhishma Dedhia · Michael Chang · Jake Snell · Tom Griffiths · Niraj Jha
• 2023 Poster: Gaussian Process Probes (GPP) for Uncertainty-Aware Probing »
  Zi Wang · Alexander Ku · Jason Baldridge · Tom Griffiths · Been Kim
• 2022 : On the informativeness of supervision signals »
  Ilia Sucholutsky · Raja Marjieh · Tom Griffiths
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 Workshop: Shared Visual Representations in Human and Machine Intelligence (SVRHM) »
  Arturo Deza · Joshua Peterson · N Apurva Ratan Murty · Tom Griffiths
• 2022 Poster: Using natural language and program abstractions to instill human inductive biases in machines »
  Sreejan Kumar · Carlos G. Correa · Ishita Dasgupta · Raja Marjieh · Michael Y Hu · Robert Hawkins · Jonathan D Cohen · nathaniel daw · Karthik Narasimhan · Tom Griffiths
• 2022 Poster: How to talk so AI will learn: Instructions, descriptions, and autonomy »
  Theodore Sumers · Robert Hawkins · Mark Ho · Tom Griffiths · Dylan Hadfield-Menell
• 2022 Poster: Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation »
  Michael Chang · Tom Griffiths · Sergey Levine
• 2021 Workshop: Workshop on Human and Machine Decisions »
  Daniel Reichman · Joshua Peterson · Kiran Tomlinson · Annie Liang · Tom Griffiths
• 2021 : Opening remarks »
  Tom Griffiths
• 2021 : Exploring the Structure of Human Adjective Representations »
  Karan Grewal · Joshua Peterson · Bill Thompson · Tom Griffiths
• 2021 : Invited Talk 4 »
  Tom Griffiths
• 2021 Workshop: Shared Visual Representations in Human and Machine Intelligence »
  Arturo Deza · Joshua Peterson · N Apurva Ratan Murty · Tom Griffiths
• 2021 Oral: Passive attention in artificial neural networks predicts human visual selectivity »
  Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby
• 2021 Poster: Passive attention in artificial neural networks predicts human visual selectivity »
  Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby
• 2020 Workshop: Shared Visual Representations in Human and Machine Intelligence (SVRHM) »
  Arturo Deza · Joshua Peterson · N Apurva Ratan Murty · Tom Griffiths
• 2019 : Concluding Remarks & Prizes Ceremony »
  Arturo Deza · Joshua Peterson · Apurva Ratan Murty · Tom Griffiths
• 2019 : Tom Griffiths »
  Tom Griffiths
• 2019 : Opening Remarks »
  Arturo Deza · Joshua Peterson · Apurva Ratan Murty · Tom Griffiths
• 2019 Workshop: Shared Visual Representations in Human and Machine Intelligence »
  Arturo Deza · Joshua Peterson · Apurva Ratan Murty · Tom Griffiths
• 2019 Poster: Reconciling meta-learning and continual learning with online mixtures of tasks »
  Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller
• 2019 Spotlight: Reconciling meta-learning and continual learning with online mixtures of tasks »
  Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller
• 2019 Poster: On the Utility of Learning about Humans for Human-AI Coordination »
  Micah Carroll · Rohin Shah · Mark Ho · Tom Griffiths · Sanjit Seshia · Pieter Abbeel · Anca Dragan