RBM、Deep Learningと学習(全脳アーキテクチャ若手の会 第3回DL勉強会発表資料)1. The document discusses energy-based models (EBMs) and how they can be applied to classifiers. It introduces noise contrastive estimation and flow contrastive estimation as methods to train EBMs. 2. One paper presented trains energy-based models using flow contrastive estimation by passing data through a flow-based generator. This allows implicit modeling with EBMs. 3. Another paper argues that
