前端Meta-Learning: Learning to Learn Fast 云博小周宇2024年5月5日2023年8月14日1 Min Read Define the Meta-Learning Problem A Simple View Training in the Same Way as Testing Learner and Meta-Learner Common Approaches Metric-Based Convolutional Siamese Neural Network Matching Networks Simple Embedding Full Context Embeddings Relation Network Prototypical Networks Model-Based Memory-Augmented Neural Networks MANN for Meta-Learning Addressing Mechanism for Meta-Learning Meta Networks Fast Weights Model Components Training Process Optimization-Based LSTM Meta-Learner Why LSTM? Model Setup MAML First-Order MAML Reptile The Optimization Assumption Reptile vs FOMAML Reference https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html#full-context-embeddings https://www.zhihu.com/question/264595128/answer/743067364
