Meta-Learning Algorithms Kernel Inducing Points public – 3 min read Introduction to Kernel Inducing Points (KIP) Kernel Inducing Points, or KIP, is a meta-learning algorithm that can effectively learn datasets… Apr 23, 2023 Devin Schumacher
Meta-Learning Algorithms Meta-augmentation public – 2 min read What is Meta-Augmentation? Meta-Augmentation is a technique used in machine learning to generate more varied tasks for a single example… Apr 23, 2023 Devin Schumacher
Meta-Learning Algorithms Meta Reward Learning public – 2 min read What is MeRL? Meta Reward Learning (MeRL) is an advanced machine learning technique that allows agents to learn from sparse… Apr 23, 2023 Devin Schumacher
Meta-Learning Algorithms Model-Agnostic Meta-Learning public – 2 min read MAML or Model-Agnostic Meta-Learning is a powerful algorithm for meta-learning. It is model and task-agnostic, meaning it can be applied… Apr 23, 2023 Devin Schumacher