Matthew Riemer
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Topic Modeling, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Neural Networks and Applications
Most-Cited Works
- → Learning to Learn without Forgetting by Maximizing Transfer and\n Minimizing Interference(2018)345 cited
- → Towards Continual Reinforcement Learning: A Review and Perspectives(2022)175 cited
- Learning to Teach in Cooperative Multiagent Reinforcement Learning(2018)
- → Routing Networks: Adaptive Selection of Non-linear Functions for\n Multi-Task Learning(2017)48 cited
- → Routing Networks and the Challenges of Modular and Compositional Computation(2019)39 cited
- Learning Abstract Options(2018)
- → PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide\n Sequences(2018)27 cited