Tom Griffiths
21 papers · 2007–2023 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Tom Griffiths?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Erin Grant, Ishita Dasgupta, Alison Gopnik
10 papers
· 2017–2023
· NeurIPS, EMNLP, ICML
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Tree of Thoughts: Deliberate Problem Solving with Large Language Models
NeurIPS 2023
Distinguishing rule and exemplar-based generalization in learning systems
ICML 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
NeurIPS 2022
Using natural language and program abstractions to instill human inductive biases in machines
NeurIPS 2022
Passive attention in artificial neural networks predicts human visual selectivity
NeurIPS 2021
On the Utility of Learning about Humans for Human-AI Coordination
NeurIPS 2019
Reconciling meta-learning and continual learning with online mixtures of tasks
NeurIPS 2019
Evaluating Theory of Mind in Question Answering
EMNLP 2018
Exploiting Attention to Reveal Shortcomings in Memory Models
EMNLP 2018
A graph-theoretic approach to multitasking
NeurIPS 2017
5 papers whose co-authors appear nowhere else under this name
Alignment with human representations supports robust few-shot learning
NeurIPS 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
NeurIPS 2023
Investigating Human Priors for Playing Video Games
ICML 2018
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
NeurIPS 2013
A fully Bayesian approach to unsupervised part-of-speech tagging
ACL 2007