Michael C. Mozer

96 papers A* 17A 3B 2C 1Journal 56Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aligning machine and human visual representations across abstraction levels.
Nat.
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2025 J jnl
Catch Your Breath: Adaptive Computation for Self-Paced Sequence Production.
CoRR
Alexandre Galashov, Matt Jones, Nan Rosemary Ke, Yuan Cao, Vaishnavh Nagarajan, Michael C. Mozer
2025 J jnl
Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings.
CoRR
Anand Gopalakrishnan, Róbert Csordás, Jürgen Schmidhuber, Michael C. Mozer
2024 J jnl
Aligning Machine and Human Visual Representations across Abstraction Levels.
CoRR
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2024 — conf
Human-like Learning in Temporally Structured Environments.
AAAI Spring Symposia
Matt Jones, Tyler R. Scott, Michael C. Mozer
2024 A* conf
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.
NeurIPS
Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael C. Mozer, Sanjeev Arora
2024 A* conf
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.
NeurIPS
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
2024 J jnl
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.
CoRR
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
2024 A* conf
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery.
NeurIPS
Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael C. Mozer
2024 J jnl
Zero-Shot Object-Centric Representation Learning.
CoRR
Aniket Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael C. Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer
2023 J jnl
Can Neural Network Memorization Be Localized?
CoRR
Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang
2023 J jnl
On the Foundations of Shortcut Learning.
CoRR
Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael C. Mozer
2023 J jnl
Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior.
CoRR
Ayush Chakravarthy, Bailey Trang Nguyen, Anirudh Goyal, Yoshua Bengio, Michael C. Mozer
2022 J jnl
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
CoRR
Tyler R. Scott, Ting Liu, Michael C. Mozer, Andrew C. Gallagher
2022 A* conf
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning.
ICML
Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer
2022 J jnl
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning.
CoRR
Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer
2022 J jnl
Layer-Stack Temperature Scaling.
CoRR
Amr Khalifa, Michael C. Mozer, Hanie Sedghi, Behnam Neyshabur, Ibrahim Alabdulmohsin
2022 A conf
Mitigating Bias in Calibration Error Estimation.
AISTATS
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
2022 J jnl
Overcoming Temptation: Incentive Design For Intertemporal Choice.
CoRR
Shruthi Sukumar, Adrian F. Ward, Camden Elliott-Williams, Shabnam Hakimi, Michael C. Mozer
2022 A* conf
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
NeurIPS
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
2022 J jnl
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
CoRR
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
2021 A* conf
Characterizing Structural Regularities of Labeled Data in Overparameterized Models.
ICML
Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer
2021 A* conf
Discrete-Valued Neural Communication.
NeurIPS
Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael C. Mozer, Yoshua Bengio
2021 A* conf
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss.
NeurIPS
Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio
2021 J jnl
Learning Neural Causal Models with Active Interventions.
CoRR
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
2021 J jnl
Online Unsupervised Learning of Visual Representations and Categories.
CoRR
Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
2021 J jnl
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks.
Neural Comput.
Brett D. Roads, Michael C. Mozer
2021 A* conf
Soft Calibration Objectives for Neural Networks.
NeurIPS
Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs
2021 J jnl
Soft Calibration Objectives for Neural Networks.
CoRR
Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs
2021 J jnl
Training cascaded networks for speeded decisions using a temporal-difference loss.
CoRR
Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio
2021 A* conf
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers.
ICML
Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
2021 J jnl
Understanding invariance via feedforward inversion of discriminatively trained classifiers.
CoRR
Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
2021 — conf
Using Semantics of Textbook Highlights to Predict Student Comprehension and Knowledge Retention.
iTextbooks@AIED
David Y. J. Kim, Tyler R. Scott, Debshila Basu Mallick, Michael C. Mozer
2021 A* conf
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning.
ICCV
Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer
2021 J jnl
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning.
CoRR
Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer
2020 J jnl
Compositional Embeddings for Multi-Label One-Shot Learning.
CoRR
Zeqian Li, Michael C. Mozer, Jacob Whitehill
2020 J jnl
Exploring the Memorization-Generalization Continuum in Deep Learning.
CoRR
Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer
2020 A* conf
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization.
ICLR
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer
2020 J jnl
Mitigating bias in calibration error estimation.
CoRR
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
2020 J jnl
Quantifying the Role of Vocabulary Knowledge in Predicting Future Word Learning.
IEEE Trans. Cogn. Dev. Syst.
Nicole M. Beckage, Michael C. Mozer, Eliana Colunga
2020 A* conf
Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget.
CVPR
Guy Davidson, Michael C. Mozer
2020 J jnl
Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity.
CoRR
Maria Attarian, Brett D. Roads, Michael C. Mozer
2020 J jnl
Wandering Within a World: Online Contextualized Few-Shot Learning.
CoRR
Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
2019 J jnl
Convolutional Bipartite Attractor Networks.
CoRR
Michael L. Iuzzolino, Yoram Singer, Michael C. Mozer
2019 J jnl
Sequential mastery of multiple tasks: Networks naturally learn to learn.
CoRR
Guy Davidson, Michael C. Mozer
2019 J jnl
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.
CoRR
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio, Michael C. Mozer
2019 J jnl
Stochastic Prototype Embeddings.
CoRR
Tyler R. Scott, Karl Ridgeway, Michael C. Mozer
2018 A* conf
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning.
NeurIPS
Tyler R. Scott, Karl Ridgeway, Michael C. Mozer
2018 J jnl
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning.
CoRR
Tyler R. Scott, Karl Ridgeway, Michael C. Mozer
2018 — conf
Boosting Engagement with Educational Software Using Near Wins.
AIED (2)
Mohammad M. Khajah, Michael C. Mozer, Sean Kelly, Brent Milne
2018 A* conf
Learning Deep Disentangled Embeddings With the F-Statistic Loss.
NeurIPS
Karl Ridgeway, Michael C. Mozer
2018 J jnl
Learning Deep Disentangled Embeddings with the F-Statistic Loss.
CoRR
Karl Ridgeway, Michael C. Mozer
2018 J jnl
Open-Ended Content-Style Recombination Via Leakage Filtering.
CoRR
Karl Ridgeway, Michael C. Mozer
2018 A* conf
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding.
NeurIPS
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio
2018 J jnl
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding.
CoRR
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio
2018 J jnl
State-Denoised Recurrent Neural Networks.
CoRR
Michael C. Mozer, Denis Kazakov, Robert V. Lindsey
2017 J jnl
Discrete Event, Continuous Time RNNs.
CoRR
Michael C. Mozer, Denis Kazakov, Robert V. Lindsey
2017 J jnl
Forgetting of Foreign-Language Skills: A Corpus-Based Analysis of Online Tutoring Software.
Cogn. Sci.
Karl Ridgeway, Michael C. Mozer, Anita R. Bowles
2017 J jnl
Improving Human-Machine Cooperative Classification Via Cognitive Theories of Similarity.
Cogn. Sci.
Brett D. Roads, Michael C. Mozer
2017 J jnl
Improving Human-Machine Cooperative Visual Search With Soft Highlighting.
ACM Trans. Appl. Percept.
Ronald T. Kneusel, Michael C. Mozer
2017 B conf
Learning to generate images with perceptual similarity metrics.
ICIP
Jake Snell, Karl Ridgeway, Renjie Liao, Brett D. Roads, Michael C. Mozer, Richard S. Zemel
2016 A* conf
Designing Engaging Games Using Bayesian Optimization.
CHI
Mohammad Khajah, Brett D. Roads, Robert V. Lindsey, Yun-En Liu, Michael C. Mozer
2016 J jnl
How deep is knowledge tracing?
CoRR
Mohammad Khajah, Robert V. Lindsey, Michael C. Mozer
2016 J jnl
Improving Human-Machine Cooperative Visual Search With Soft Highlighting.
CoRR
Ronald T. Kneusel, Michael C. Mozer
2015 J jnl
Learning to generate images with perceptual similarity metrics.
CoRR
Karl Ridgeway, Jake Snell, Brett Roads, Richard S. Zemel, Michael C. Mozer
2014 — conf
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning.
NIPS
Robert V. Lindsey, Mohammad Khajah, Michael C. Mozer
2014 J jnl
Maximizing Students' Retention via Spaced Review: Practical Guidance From Computational Models of Memory.
Top. Cogn. Sci.
Mohammad Khajah, Robert V. Lindsey, Michael C. Mozer
2012 J jnl
Sequential Dependencies in Driving.
Cogn. Sci.
Anup Doshi, Cuong Tran, Matthew H. Wilder, Michael C. Mozer, Mohan M. Trivedi
2011 — conf
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments.
NIPS
Michael C. Mozer, Benjamin Link, Harold Pashler
2009 B conf
Blind Optimization for Exploiting Hardware Features.
CC
Dan Knights, Todd Mytkowicz, Peter F. Sweeney, Michael C. Mozer, Amer Diwan
2009 A conf
Detecting Topic Drift with Compound Topic Models.
ICWSM
Dan Knights, Michael C. Mozer, Nicolas Nicolov
2008 J jnl
Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds?
Cogn. Sci.
Michael C. Mozer, Harold Pashler, Hadjar Homaei
2008 — conf
Optimal Response Initiation: Why Recent Experience Matters.
NIPS
Matt Jones, Michael C. Mozer, Sachiko Kinoshita
2008 — conf
Temporal Dynamics of Cognitive Control.
NIPS
Jeremy Reynolds, Michael C. Mozer
2008 J jnl
Top-Down modulation of neural responses in visual perception: a computational exploration.
Nat. Comput.
Michael C. Mozer, Adrian Fan
2007 — ch.
Monaural Speech Separation by Support Vector Machines: Bridging the Divide Between Supervised and Unsupervised Learning Methods.
Blind Speech Separation
Sepp Hochreiter, Michael C. Mozer
2007 J jnl
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity.
Neural Comput.
Sander M. Bohté, Michael C. Mozer
2007 — ch.
Sequential Dependencies in Human Behavior Offer Insights Into Cognitive Control.
Integrated Models of Cognitive Systems
Michael C. Mozer, Sachiko Kinoshita, Michael Shettel
2006 — conf
Context Effects in Category Learning: An Investigation of Four Probabilistic Models.
NIPS
Michael C. Mozer, Michael Jones, Michael Shettel
2006 C conf
Rational Models of Cognitive Control.
UC
Michael C. Mozer
2005 A conf
Automating vertical profiling.
OOPSLA
Matthias Hauswirth, Amer Diwan, Peter F. Sweeney, Michael C. Mozer
2005 — conf
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity.
BNAIC
Sander M. Bohté, Michael C. Mozer
2004 — conf
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity.
NIPS
Sander M. Bohté, Michael C. Mozer
2004 — conf
Theories of Access Consciousness.
NIPS
Michael D. Colagrosso, Michael C. Mozer
2001 — conf
A Rational Analysis of Cognitive Control in a Speeded Discrimination Task.
NIPS
Michael C. Mozer, Michael D. Colagrosso, David E. Huber
2001 J jnl
Mating Strategies in a Darwinian Microworld: Simulating the Consequences of Female Reproductive Refractoriness.
Adapt. Behav.
Harold Pashler, Michael C. Mozer, Christine R. Harris
2001 — conf
Prodding the ROC Curve: Constrained Optimization of Classifier Performance.
NIPS
Michael C. Mozer, Robert H. Dodier, Michael D. Colagrosso, Cesar Guerra-Salcedo, Richard H. Wolniewicz
2000 J jnl
Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry.
IEEE Trans. Neural Networks Learn. Syst.
Michael C. Mozer, Richard H. Wolniewicz, David B. Grimes, Eric Johnson, Howard Kaushansky
1999 J jnl
An Intelligent Environment Must Be Adaptive.
IEEE Intell. Syst.
Michael C. Mozer
1999 J jnl
Room service, AI-style.
IEEE Intell. Syst.
Haym Hirsh, Michael H. Coen, Michael C. Mozer, Richard Hasha, James L. Flanagan
1997 — conf
Neural net Architectures in Modeling Compositional Syntax: Prediction and Perception of Continuity in Minimalist Works by Phillip Glass and Louis Andriessen.
ICMC
Yayoi Uno, Michael C. Mozer
1994 J jnl
Neural Network Music Composition by Prediction: Exploring the Benefits of Psychoacoustic Constraints and Multi-scale Processing.
Connect. Sci.
Michael C. Mozer
1992 J jnl
Learning to Segment Images Using Dynamic Feature Binding.
Neural Comput.
Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. Williams
1991 — book
Perception of multiple objects - a connectionist approach.
Michael C. Mozer
1990 J jnl
Discovering the Structure of a Reactive Environment by Exploration.
Neural Comput.
Michael C. Mozer, Jonathan Bachrach
1989 J jnl
A Focused Backpropagation Algorithm for Temporal Pattern Recognition.
Complex Syst.
Michael C. Mozer