Michael Mozer
24 papers · 2006–2024 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Conference Polyglot
(5)
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Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(20)
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Keyword Trendsetter Combo
(5)
π±
Topic Pioneer
π
Keyword Champion
π§¬
Topic Evolution
ποΈ
Keyword Collector
(67)
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Conference Pioneer
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Trend Setter
β‘
Prolific Year
(6)
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Century Club
(24)
π₯
Unstoppable
(7)
Conferences
NIPS (19)
ICML (2)
AAAI (1)
AISTATS (1)
WACV (1)
Top co-authors
Research topics
Keywords
representation learning
(4)
cognitive modeling
(4)
embedding learning
(3)
recurrent neural network
(3)
bayesian inference
(3)
attention mechanism
(3)
probabilistic inference
(3)
metric learning
(2)
reinforcement learning
(2)
few-shot learning
(2)
probabilistic model
(2)
student learning
(2)
human judgment
(2)
vector quantization
(2)
sequential dependency
(2)
neural network
(2)
computer vision
(1)
transfer learning
(1)
unsupervised learning
(1)
bayesian learning
(1)
Papers
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
NIPS 2024
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
AAAI 2023
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
NIPS 2022
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
AISTATS 2021
Compositional Embeddings for Multi-Label One-Shot Learning
WACV 2021
Neural Production Systems
NIPS 2021
Discrete-Valued Neural Communication
NIPS 2021
Soft Calibration Objectives for Neural Networks
NIPS 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
NIPS 2021
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
ICML 2020
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
ICML 2019
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
NIPS 2018
Learning Deep Disentangled Embeddings With the F-Statistic Loss
NIPS 2018
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
NIPS 2018
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
NIPS 2014
Optimizing Instructional Policies
NIPS 2013
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
NIPS 2011
Improving Human Judgments by Decontaminating Sequential Dependencies
NIPS 2010
Sequential effects reflect parallel learning of multiple environmental regularities
NIPS 2009
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
NIPS 2009
Temporal Dynamics of Cognitive Control
NIPS 2008
Optimal Response Initiation: Why Recent Experience Matters
NIPS 2008
Experience-Guided Search: A Theory of Attentional Control
NIPS 2007
Context Effects in Category Learning: An Investigation of Four Probabilistic Models
NIPS 2006