We construct an unsupervised learning model that achieves nonlinear
dise...
Learning how to model complex scenes in a modular way with recombinable
...
Gaussian processes (GPs) are nonparametric priors over functions, and fi...
Throughout the past five years, the susceptibility of neural networks to...
We propose a new framework of imposing monotonicity constraints in a Bay...
We tackle one-shot visual search by example for arbitrary object categor...
We present a probabilistic model for unsupervised alignment of
high-dime...
We introduce one-shot texture segmentation: the task of segmenting an in...
Here we demonstrate that the feature space of random shallow convolution...