Michael Curtis Mozer
12 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Venues
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Research topics
Machine Learning
(10)
Artificial Intelligence
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Deep Learning
(8)
Core AI
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Learning Types Β· Machine Learning
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Core Methods
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Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Methods
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Keywords
representation learning
(2)
continual learning
(2)
unsupervised object discovery
(2)
attention mechanism
(2)
online learning
(2)
feature learning
(1)
catastrophic forgetting
(1)
neural tangent kernel
(1)
bayesian inference
(1)
pairwise interaction
(1)
domain generalization
(1)
supervised learning
(1)
causal structure learning
(1)
graph structure
(1)
distribution shift
(1)
kalman filter
(1)
neural network optimization
(1)
variational approximation
(1)
few-shot learning
(1)
shortcut learning
(1)
Papers
On the Transfer of Object-Centric Representation Learning
ICLR 2025
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
NAACL 2025
On the Foundations of Shortcut Learning
ICLR 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
NeurIPS 2024
Can Neural Network Memorization Be Localized?
ICML 2023
Discrete Key-Value Bottleneck
ICML 2023
Learning in temporally structured environments
ICLR 2023
Learning to Induce Causal Structure
ICLR 2023
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
ICLR 2023
Coordination Among Neural Modules Through a Shared Global Workspace
ICLR 2022
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
ICLR 2021
Wandering within a world: Online contextualized few-shot learning
ICLR 2021