NIPS読み会2013: One-shot learning by inverting a compositional causal process

This document summarizes research on one-shot learning using a hierarchical Bayesian program learning (HBPL) model. The key points are: - The HBPL model achieved human-level performance on one-shot classification and generation tasks, outperforming other deep learning models. - It used an Omniglot dataset of handwritten characters from different alphabets to learn concepts from a single example, a