Michael Mozer - RankMe

82 papers A* 7A 2B 8C 1Journal 27Unranked 35

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	AI-Assisted Generation of Difficult Math Questions. CoRR Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Nan Rosemary Ke, Michael Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal
2024	J	`jnl`	Can AI Be as Creative as Humans? CoRR Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J. Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi
2024	J	`jnl`	Can foundation models actively gather information in interactive environments to test hypotheses? CoRR Nan Rosemary Ke, Danny P. Sawyer, Hubert Soyer, Martin Engelcke, David P. Reichert, Drew A. Hudson, John Reid, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P. Lillicrap, Michael Mozer, Jane X. Wang
2024	J	`jnl`	Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. CoRR Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora
2024	J	`jnl`	Racing Thoughts: Explaining Large Language Model Contextualization Errors. CoRR Michael A. Lepori, Michael Mozer, Asma Ghandeharioun
2023	A*	`conf`	Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. AAAI Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
2023	J	`jnl`	DiscoGen: Learning to Discover Gene Regulatory Networks. CoRR Nan Rosemary Ke, Sara-Jane Dunn, Jörg Bornschein, Silvia Chiappa, Mélanie Rey, Jean-Baptiste Lespiau, Albin Cassirer, Jane X. Wang, Theophane Weber, David G. T. Barrett, Matthew M. Botvinick, Anirudh Goyal, Michael Mozer, Danilo J. Rezende
2023	J	`jnl`	Leveraging the Third Dimension in Contrastive Learning. CoRR Sumukh K. Aithal, Anirudh Goyal, Alex Lamb, Yoshua Bengio, Michael Mozer
2023	B	`conf`	Multitask Learning Via Interleaving: A Neural Network Investigation. CogSci David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer
2023	J	`jnl`	Unlearning via Sparse Representations. CoRR Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal
2022	J	`jnl`	Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. CoRR Dianbo Liu, Alex Lamb, Xu Ji, Pascal Notsawo, Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
2022	J	`jnl`	Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. CoRR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
2022	J	`jnl`	Discrete Key-Value Bottleneck. CoRR Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf
2022	J	`jnl`	Learning to Induce Causal Structure. CoRR Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Jörg Bornschein, Theophane Weber, Anirudh Goyal, Matthew M. Botvinick, Michael Mozer, Danilo Jimenez Rezende
2022	J	`jnl`	Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. CoRR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
2021	A	`conf`	Compositional Embeddings for Multi-Label One-Shot Learning. WACV Zeqian Li, Michael Mozer, Jacob Whitehill
2021	J	`jnl`	Coordination Among Neural Modules Through a Shared Global Workspace. CoRR Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio
2021	A	`conf`	Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. AISTATS Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio
2021	A*	`conf`	Neural Production Systems. NeurIPS Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio
2021	J	`jnl`	Neural Production Systems. CoRR Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio
2021	—	`conf`	Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. NeurIPS Datasets and Benchmarks Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal
2021	J	`jnl`	Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. CoRR Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Christopher J. Pal
2020	J	`jnl`	Highlights as an Early Predictor of Student Comprehension and Interests. Cogn. Sci. Adam Winchell, Andrew S. Lan, Michael Mozer
2020	—	`conf`	Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform. iTextbooks@AIED David Y. J. Kim, Adam Winchell, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk, Michael Mozer
2020	A*	`conf`	Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. ICML Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio
2020	J	`jnl`	Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. CoRR Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio
2020	J	`jnl`	Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. CoRR Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio
2020	J	`jnl`	Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems. CoRR Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer
2019	A*	`conf`	State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. ICML Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer
2018	J	`jnl`	Deep neural network improves fracture detection by clinicians. Proc. Natl. Acad. Sci. USA Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter
2018	B	`conf`	Does Deep Knowledge Tracing Model Interactions Among Skills? EDM Shirly Montero, Akshit Arora, Sean Kelly, Brent Milne, Michael Mozer
2018	B	`conf`	Textbook annotations as an early predictor of student learning. EDM Adam Winchell, Michael Mozer, Andrew S. Lan, Phillip Grimaldi, Harold Pashler
2016	B	`conf`	How Deep is Knowledge Tracing? EDM Mohammad Khajah, Robert V. Lindsey, Michael Mozer
2015	B	`conf`	Predicting a Child's Trajectory of Lexical Acquisition. CogSci Nicole Beckage, Michael Mozer, Eliana Colunga
2014	—	`conf`	Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks. UMAP Workshops Mohammad Khajah, Yun Huang, José P. González-Brenes, Michael Mozer, Peter Brusilovsky
2014	B	`conf`	Integrating latent-factor and knowledge-tracing models to predict individual differences in learning. EDM Mohammad Khajah, Rowan Wing, Robert V. Lindsey, Michael Mozer
2013	B	`conf`	Maximizing Students' Retention Via Spaced Review: Practical Guidance From Computational Models Of Memory. CogSci Mohammad Khajah, Robert V. Lindsey, Michael Mozer
2013	—	`conf`	Optimizing Instructional Policies. NIPS Robert V. Lindsey, Michael Mozer, William J. Huggins, Harold Pashler
2011	B	`conf`	Past Experience Influences Judgment of Pain: Prediction of Sequential Dependencies. CogSci Benjamin Link, Brittany Ann Kos, Tor D. Wager, Michael Mozer
2010	—	`conf`	Improving Human Judgments by Decontaminating Sequential Dependencies. NIPS Michael Mozer, Harold Pashler, Matthew H. Wilder, Robert V. Lindsey, Matt Jones, Michael Jones
2009	—	`conf`	Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory. NIPS Michael Mozer, Harold Pashler, Nicholas Cepeda, Robert V. Lindsey, Ed Vul
2009	—	`conf`	Sequential effects reflect parallel learning of multiple environmental regularities. NIPS Matthew H. Wilder, Matt Jones, Michael Mozer
2007	—	`conf`	Experience-Guided Search: A Theory of Attentional Control. NIPS Michael Mozer, David Baldwin
2005	—	`conf`	Top-Down Control of Visual Attention: A Rational Account. NIPS Michael Mozer, Michael Shettel, Shaun Vecera
2004	—	`conf`	How Practice Makes Perfect. ICCM Michael Mozer
2003	A*	`conf`	Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. ICML Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz
2002	—	`conf`	Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. NIPS Sepp Hochreiter, Michael Mozer, Klaus Obermayer
2001	C	`conf`	A Discrete Probabilistic Memory Model for Discovering Dependencies in Time. ICANN Sepp Hochreiter, Michael Mozer
2001	J	`jnl`	Localist Attractor Networks. Neural Comput. Richard S. Zemel, Michael Mozer
2000	—	`conf`	Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models. NIPS Sepp Hochreiter, Michael Mozer
2000	—	`conf`	The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving. NIPS David B. Grimes, Michael Mozer
1999	—	`conf`	A Generative Model for Attractor Dynamics. NIPS Richard S. Zemel, Michael Mozer
1999	—	`conf`	Churn Reduction in the Wireless Industry. NIPS Michael Mozer, Richard H. Wolniewicz, David B. Grimes, Eric Johnson, Howard Kaushansky
1999	—	`conf`	Robust Recognition of Noisy and Superimposed Patterns via Selective Attention. NIPS Soo-Young Lee, Michael Mozer
1999	J	`jnl`	Template-based procedures for neural network interpretation. Neural Networks Jay A. Alexander, Michael Mozer
1998	—	`conf`	A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes. NIPS Michael Mozer
1998	J	`jnl`	Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning. Neural Networks Sreerupa Das, Michael Mozer
1997	—	`conf`	A Superadditive-Impairment Theory of Optic Aphasia. NIPS Michael Mozer, Mark Sitton, Martha J. Farah
1997	—	`ed.`	Advances in Neural Information Processing Systems 9, NIPS, Denver, CO, USA, December 2-5, 1996 NIPS Michael Mozer, Michael I. Jordan, Thomas Petsche
1997	J	`jnl`	Evidence-Based Static Branch Prediction Using Machine Learning. ACM Trans. Program. Lang. Syst. Brad Calder, Dirk Grunwald, Michael P. Jones, Donald C. Lindsay, James H. Martin, Michael Mozer, Benjamin G. Zorn
1997	—	`conf`	Parsing the Stream of Time: The Value of Event-Based Segmentation in a Complex Real-World Control Problem. Summer School on Neural Networks Michael Mozer, Debra Miller
1996	—	`ed.`	Advances in Neural Information Processing Systems 8, NIPS, Denver, CO, USA, November 27-30, 1995 NIPS David S. Touretzky, Michael Mozer, Michael E. Hasselmo
1996	—	`conf`	The Neurothermostat: Predictive Optimal Control of Residential Heating Systems. NIPS Michael Mozer, Lucky Vidmar, Robert H. Dodier
1995	A*	`conf`	Corpus-Based Static Branch Prediction. PLDI Brad Calder, Dirk Grunwald, Donald C. Lindsay, James H. Martin, Michael Mozer, Benjamin G. Zorn
1995	J	`jnl`	Lending direction to neural networks. Neural Networks Richard S. Zemel, Christopher K. I. Williams, Michael Mozer
1994	—	`conf`	On the Computational Utility of Consciousness. NIPS Donald W. Mathis, Michael Mozer
1994	—	`conf`	Template-Based Algorithms for Connectionist Rule Extraction. NIPS Jay A. Alexander, Michael Mozer
1993	—	`conf`	A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction. NIPS Sreerupa Das, Michael Mozer
1993	A*	`conf`	Dynamic Conflict Resolution in a Connectionist Rule-Based System. IJCAI Clayton McMillan, Michael Mozer, Paul Smolensky
1992	—	`conf`	A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages. NIPS Michael Mozer, Sreerupa Das
1992	—	`conf`	Directional-Unit Boltzmann Machines. NIPS Richard S. Zemel, Christopher K. I. Williams, Michael Mozer
1992	—	`conf`	Metamorphosis Networks: An Alternative to Constructive Models. NIPS Brian V. Bonnlander, Michael Mozer
1991	—	`conf`	Induction of Multiscale Temporal Structure. NIPS Michael Mozer
1991	—	`conf`	Learning to Segment Images Using Dynamic Feature Binding. NIPS Michael Mozer, Richard S. Zemel, Marlene Behrmann
1991	—	`conf`	Neural network music composition and the induction of multiscale temporal structure. Wissensbasierte Systeme Michael Mozer
1991	—	`conf`	Rule Induction through Integrated Symbolic and Subsymbolic Processing. NIPS Clayton McMillan, Michael Mozer, Paul Smolensky
1991	J	`jnl`	SLUG: A Connectionist Architecture for Inferring the Structure of Finite-State Environments. Mach. Learn. Michael Mozer, Jonathan Bachrach
1990	—	`conf`	Connectionist Music Composition Based on Melodic and Stylistic Constraints. NIPS Michael Mozer, Todd Soukup
1990	—	`conf`	Discovering Discrete Distributed Representations. NIPS Michael Mozer
1989	—	`conf`	Discovering the Structure of a Reactive Environment by Exploration. NIPS Michael Mozer, Jonathan Bachrach
1989	—	`conf`	TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. NIPS Richard S. Zemel, Michael Mozer, Geoffrey E. Hinton
1988	—	`conf`	Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment. NIPS Michael Mozer, Paul Smolensky