NDT: Neual Decision Tree Towards Fully Functioned Neural Graph

Understand

Though traditional algorithms could be embedded into neural architectures with the proposed principle of \cite{xiao2017hungarian}, the variables that only occur in the condition of branch could not be updated as a special case.

• To tackle this issue, we multiply the conditioned branches with Dirac symbol (i.e.
• $\mathbf{1}_{x>0}$), then approximate Dirac symbol with the continuous functions (e.g.
• $1 - e^{-\alpha|x|}$).