Michael C. Mozer
- Coordination Among Neural Modules Through a Shared Global Workspace
2021/03/01 by Anirudh Goyal, Goyal, Anirudh, Aniket Didolkar +19 · 1 voice · 10 citations
Computer Science · Engineering · Mathematics · #Ferroelectric and Negative Capacitance Devices #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.LG #stat.ML
- On the Foundations of Shortcut Learning
2023/10/24 by Katherine L. Hermann, Hossein Mobahi, Hermann, Katherine L. +5 · 1 voice · 17 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications #cs.CV #cs.LG
- Discrete Event, Continuous Time RNNs
2017/10/11 by Michael C. Mozer, Denis Kazakov, Mozer, Michael C. +3 · 9 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Neural and Evolutionary Computing (cs.NE) #Smart Grid Security and Resilience
- Mitigating Bias in Calibration Error Estimation
2020/12/15 by Rebecca Roelofs, Nicholas Cain, Roelofs, Rebecca +5 · 10 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Soft Calibration Objectives for Neural Networks
2021/07/30 by Archit Karandikar, Nicholas Cain, Karandikar, Archit +11 · 8 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AI-Assisted Generation of Difficult Math Questions
2024/07/30 by Vedant Shah, Dingli Yu, Shah, Vedant +20 · 3 voices · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #cs.AI #cs.LG
- Learning Deep Disentangled Embeddings with the F-Statistic Loss
2018/02/14 by Karl Ridgeway, Michael C. Mozer, Ridgeway, Karl +1 · 5 citations
Computer Science · #Face and Expression Recognition
- Can Neural Network Memorization Be Localized?
2023/07/18 by Pratyush Maini, Michael C. Mozer, Maini, Pratyush +9 · 8 citations
Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- von Mises-Fisher Loss: An Exploration of Embedding Geometries for\n Supervised Learning
2021/03/29 by Tyler R. Scott, Andrew Gallagher, Scott, Tyler R. +3 · 4 citations
Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Statistical Methods and Inference
- Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity
2020/10/13 by Maria Attarian, Attarian, Maria, Brett D. Roads +3 · 3 citations
Computer Science · Neuroscience · #Data Visualization and Analytics #FOS: Computer and information sciences #Face Recognition and Perception #Neural and Evolutionary Computing (cs.NE) #Visual Attention and Saliency Detection
- How deep is knowledge tracing?
2016/03/14 by Mohammad Khajah, Robert Lindsey, Khajah, Mohammad +3 · 5 citations
Computer Science · #Reinforcement Learning in Robotics #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning and Algorithms
- Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
2022/10/04 by Dianbo Liu, Liu, Dianbo, Vedant Shah +15 · 3 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
- Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
2018/09/11 by Nan Rosemary Ke, Ke, Nan Rosemary, Anirudh Goyal +11 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Learning Neural Causal Models with Active Interventions
2021/09/06 by Nino Scherrer, Olexa Bilaniuk, Scherrer, Nino +17 · 2 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Can foundation models actively gather information in interactive environments to test hypotheses?
2024/12/09 by Danny P. Sawyer, Nan Rosemary Ke, Sawyer, Danny P. +25 · 3 voices · 2 citations
Decision Sciences · Computer Science · #Scientific Computing and Data Management #Semantic Web and Ontologies #Data Visualization and Analytics
- Wandering Within a World: Online Contextualized Few-Shot Learning
2020/07/09 by Mengye Ren, Ren, Mengye, Michael L. Iuzzolino +5 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Multimodal Machine Learning Applications
- Can AI Be as Creative as Humans?
2024/01/03 by Haonan Wang, Wang, Haonan, James Zou +18 · 2 citations
Materials Science · Computer Science · Social Sciences · #Machine Learning in Materials Science #Topic Modeling #Language and cultural evolution
- Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
2021/03/15 by Piotr Teterwak, Chiyuan Zhang, Teterwak, Piotr +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Neural Production Systems: Learning Rule-Governed Visual Dynamics
2021/03/02 by Anirudh Goyal, Aniket Didolkar, Goyal, Anirudh +13 · 1 citation
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Functional Brain Connectivity Studies #Neural Networks and Applications
- Racing Thoughts: Explaining Contextualization Errors in Large Language Models
2024/10/02 by Michael A. Lepori, Lepori, Michael A., Michael C. Mozer +3 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
- Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings
2025/09/05 by Anand Gopalakrishnan, Gopalakrishnan, Anand, Róbert Csordás +6 · 1 voice · 2 citations
Computer Science · Social Sciences · #Geographic Information Systems Studies #Speech and dialogue systems #cs.AI #cs.CL #cs.LG