Tom Griffiths
21 papers · 2007–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (4)
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π±
Topic Pioneer
π§¬
Topic Evolution
ποΈ
Keyword Collector
(107)
π
Trend Setter
π
Century Club
(21)
π₯
Unstoppable
(7)
Conferences
NIPS (14)
ICML (4)
EMNLP (2)
ACL (1)
Top co-authors
Keywords
neural network
(4)
reinforcement learning
(3)
few-shot learning
(3)
transfer learning
(2)
inductive bia
(2)
attention mechanism
(2)
question answering
(2)
credit assignment
(2)
multi-agent system
(2)
representation learning
(2)
multi-task learning
(1)
probabilistic modeling
(1)
network architecture
(1)
computer vision
(1)
sample efficiency
(1)
image classification
(1)
approximate inference
(1)
bounded rationality
(1)
dirichlet process
(1)
policy gradient
(1)
Papers
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
NIPS 2023
Alignment with human representations supports robust few-shot learning
NIPS 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
NIPS 2023
Im-Promptu: In-Context Composition from Image Prompts
NIPS 2023
Distinguishing rule and exemplar-based generalization in learning systems
ICML 2022
Using natural language and program abstractions to instill human inductive biases in machines
NIPS 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
NIPS 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
NIPS 2022
Passive attention in artificial neural networks predicts human visual selectivity
NIPS 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
ICML 2021
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
ICML 2020
Reconciling meta-learning and continual learning with online mixtures of tasks
NIPS 2019
On the Utility of Learning about Humans for Human-AI Coordination
NIPS 2019
Exploiting Attention to Reveal Shortcomings in Memory Models
EMNLP 2018
Investigating Human Priors for Playing Video Games
ICML 2018
Evaluating Theory of Mind in Question Answering
EMNLP 2018
A graph-theoretic approach to multitasking
NIPS 2017
Algorithm selection by rational metareasoning as a model of human strategy selection
NIPS 2014
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
NIPS 2013
Burn-in, bias, and the rationality of anchoring
NIPS 2012
A fully Bayesian approach to unsupervised part-of-speech tagging
ACL 2007