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
• 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 : Reinforcement learning: It's all in the mind »
  Tom Griffiths
• 2021 Workshop: Workshop on Human and Machine Decisions »
  Daniel Reichman · Joshua Peterson · Kiran Tomlinson · Annie Liang · Tom Griffiths
• 2021 : Opening remarks »
  Tom Griffiths
• 2021 : Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks »
  Anne Harrington · Arturo Deza
• 2021 : Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN »
  Jonathan Gant · Andrzej Banburski · Arturo Deza
• 2021 : On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation »
  Binxu Wang · David Mayo · Arturo Deza · Andrei Barbu · Colin Conwell
• 2021 : Exploring the Structure of Human Adjective Representations »
  Karan Grewal · Joshua Peterson · Bill Thompson · Tom Griffiths
• 2021 : What Matters In Branch Specialization? Using a Toy Task to Make Predictions »
  Chenguang Li · Arturo Deza
• 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 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
• 2017 : Break + Poster (1) »
  Devendra Singh Chaplot · CHIH-YAO MA · Simon Brodeur · Eri Matsuo · Ichiro Kobayashi · Seitaro Shinagawa · Koichiro Yoshino · Yuhong Guo · Ben Murdoch · Kanthashree Mysore Sathyendra · Daniel Ricks · Haichao Zhang · Joshua Peterson · Li Zhang · Mircea Mironenco · Peter Anderson · Mark Johnson · Kang Min Yoo · Guntis Barzdins · Ahmed H Zaidi · Martin Andrews · Sam Witteveen · SUBBAREDDY OOTA · Prashanth Vijayaraghavan · Ke Wang · Yan Zhu · Renars Liepins · Max Quinn · Amit Raj · Vincent Cartillier · Eric Chu · Ethan Caballero · Fritz Obermeyer