SDE-Net	Neural stochastic differential equation model
DNNs	Deep neural networks
ID	In-distribution
OOD	Out-of-distribution
NPs	Neural processes
vNPs	Vanilla neural processes or neural process variants
ConvCNP	Convolutional conditional neural process
CNPs	Conditional neural processes
ANPs	Attentive neural processes
BNNs	Bayesian neural processes
PCA	Principal component analysis
GPs	Gaussian processes
MLP	Multilayer perceptron
CNNs	Convolutional neural networks
ODE-Net	Neural ordinary differential equation
Conv2d	Two-dimensional convolution
RKHS	Reproducing kernel Hilbert space
ResNet	Residual networks
ELBO	Evidence lower bound
KL	Kullback–Leibler divergence