Sébastien M. R. Arnold
University of Southern California(US)
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Machine Learning and Data Classification, Stochastic Gradient Optimization Techniques, Natural Language Processing Techniques
Most-Cited Works
- → learn2learn: A Library for Meta-Learning Research(2020)37 cited
- → A domain-agnostic approach for characterization of lifelong learning systems(2023)16 cited
- When MAML Can Adapt Fast and How to Assist When It Cannot(2021)
- → Reducing the variance in online optimization by transporting past gradients(2019)12 cited
- → RoboCLIP: One Demonstration is Enough to Learn Robot Policies(2023)7 cited
- Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning(2019)
- → Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator(2019)5 cited
- → Embedding Adaptation is Still Needed for Few-Shot Learning(2021)5 cited