Griffiths, Tom

19 publications

AAAI 2024 Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract) Ruiqi He, Carlos G. Correa, Tom Griffiths, Mark K. Ho

NeurIPS 2023 Alignment with Human Representations Supports Robust Few-Shot Learning Ilia Sucholutsky, Tom Griffiths

NeurIPS 2023 Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Zi Wang, Alexander Ku, Jason Baldridge, Tom Griffiths, Been Kim

NeurIPS 2023 Im-Promptu: In-Context Composition from Image Prompts Bhishma Dedhia, Michael Chang, Jake Snell, Tom Griffiths, Niraj Jha

NeurIPS 2023 Tree of Thoughts: Deliberate Problem Solving with Large Language Models Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan

ICML 2022 Distinguishing Rule and Exemplar-Based Generalization in Learning Systems Ishita Dasgupta, Erin Grant, Tom Griffiths

NeurIPS 2022 How to Talk so AI Will Learn: Instructions, Descriptions, and Autonomy Theodore Sumers, Robert Hawkins, Mark K Ho, Tom Griffiths, Dylan Hadfield-Menell

NeurIPS 2022 Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang, Tom Griffiths, Sergey Levine

NeurIPS 2022 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

ICML 2021 Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment Michael Chang, Sid Kaushik, Sergey Levine, Tom Griffiths

NeurIPS 2021 Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity Thomas Langlois, Haicheng Zhao, Erin Grant, Ishita Dasgupta, Tom Griffiths, Nori Jacoby

ICML 2020 Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions Michael Chang, Sid Kaushik, S. Matthew Weinberg, Tom Griffiths, Sergey Levine

NeurIPS 2019 On the Utility of Learning About Humans for Human-AI Coordination Micah Carroll, Rohin Shah, Mark K Ho, Tom Griffiths, Sanjit Seshia, Pieter Abbeel, Anca Dragan

NeurIPS 2019 Reconciling Meta-Learning and Continual Learning with Online Mixtures of Tasks Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller

ICML 2018 Investigating Human Priors for Playing Video Games Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei Efros

NeurIPS 2017 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

NeurIPS 2014 Algorithm Selection by Rational Metareasoning as a Model of Human Strategy Selection Falk Lieder, Dillon Plunkett, Jessica B Hamrick, Stuart Russell, Nicholas Hay, Tom Griffiths

NeurIPS 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia, Joshua T. Abbott, Joseph L Austerweil, Tom Griffiths, Trevor Darrell

NeurIPS 2012 Burn-in, Bias, and the Rationality of Anchoring Falk Lieder, Tom Griffiths, Noah Goodman