Masked Autoencoder for Distribution Estimation on Small Structured Data Sets

Ahmad Khajenezhad,Hatef Madani,Hamid Beigy

IEEE Transactions on Neural Networks and Learning Systems（2021）

引用 9|浏览32

暂无评分

摘要

Autoregressive models are among the most successful neural network methods for estimating a distribution from a set of samples. However, these models, such as other neural methods, need large data sets to provide good estimations. We believe that knowing structural information about the data can improve their performance on small data sets. Masked autoencoder for distribution estimation (MADE) is ...

查看译文

关键词

Estimation,Computational modeling,Data models,Neural networks,Complexity theory,Training,Markov processes

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要