Matthew Riemer
- Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
2018/10/28 by Matthew Riemer, Ignacio Cases, Riemer, Matthew +11 · 66 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Towards Continual Reinforcement Learning: A Review and Perspectives
2020/12/25 by Khimya Khetarpal, Matthew Riemer, Khetarpal, Khimya +5 · 25 citations
Biochemistry, Genetics and Molecular Biology · #Viral Infectious Diseases and Gene Expression in Insects
- Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
2017/11/03 by Clemens M. Rosenbaum, Rosenbaum, Clemens, Tim Klinger +4 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- Routing Networks and the Challenges of Modular and Compositional Computation
2019/04/29 by Clemens Rosenbaum, Ignacio Cases, Rosenbaum, Clemens +5 · 7 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
- Learning Abstract Options
2018/10/27 by Matthew Riemer, Miao Liu, Riemer, Matthew +3 · 6 citations
Computer Science · #Reinforcement Learning in Robotics #Multimodal Machine Learning Applications #Teaching and Learning Programming
- Continual Learning with Self-Organizing Maps
2019/04/19 by Pouya Bashivan, Bashivan, Pouya, Martin Schrimpf +9 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
2024/06/07 by Megh Thakkar, Quentin Fournier, Thakkar, Megh +11 · 4 citations
Computer Science · #Data Management and Algorithms
- Position: Theory of Mind Benchmarks are Broken for Large Language Models
2024/12/27 by Matthew Riemer, Zahra Ashktorab, Riemer, Matthew +11 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
2024/12/18 by Matthew Riemer, Gopeshh Subbaraj, Riemer, Matthew +5 · 4 citations
Computer Science · Engineering · #Neural Networks and Applications #Reinforcement Learning in Robotics #Analog and Mixed-Signal Circuit Design
- Handling Delay in Real-Time Reinforcement Learning
2025/03/30 by Ivan Anokhin, Rishav Rishav, Anokhin, Ivan +9 · 3 citations
Computer Science · #Reinforcement Learning in Robotics #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI)
- A Study of Compositional Generalization in Neural Models
2020/06/16 by Tim Klinger, Dhaval Adjodah, Klinger, Tim +11 · 1 citation
Computer Science · Engineering · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Robot Manipulation and Learning
- Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games
2020/11/23 by Tyler Malloy, Malloy, Tailia, Tim Klinger +9 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning #Adaptive Dynamic Programming Control