Research map / Learning theory and algorithms / Kernels and regression theory
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- ES-MAML: Simple Hessian-Free Meta Learning (ICLR 2020 · similarity 0.91)
- On the Global Optimality of Model-Agnostic Meta-Learning (ICML 2020 · similarity 0.91)
- Provable Generalization of Overparameterized Meta-learning Trained with SGD (NeurIPS 2022 · similarity 0.91)
- Meta-Learning with Adaptive Hyperparameters (NeurIPS 2020 · similarity 0.90)
- Efficient Meta Learning via Minibatch Proximal Update (NeurIPS 2019 · similarity 0.90)
- Provable Meta-Learning with Low-Rank Adaptations (NeurIPS 2025 · similarity 0.89)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
