Conceitos Básicos
Proposing BEND, a novel approach using diffusion models for efficient deep learning training and inference in Bagging.
Estatísticas
Baggingは複数のベース分類器を統合してモデルの分散を減らすことに成功しました。
伝統的な深層学習トレーニング方法はコストがかかり、多様なモデルに対して課題があります。
Citações
"Diffusion models efficiently generate neural network parameters with diversity."
"Our proposed BEND algorithm consistently outperforms the mean and median accuracies of both the original trained model and the diffused model."