Visual similarities discovery (VSD) is an important task with broad
e-co...
We present Variational Bayesian Network (VBN) - a novel Bayesian entity
...
Transformer-based language models significantly advanced the state-of-th...
A major challenge in collaborative filtering methods is how to produce
r...
Latent variable discovery is a central problem in data analysis with a b...
We present Gradient Activation Maps (GAM) - a machinery for explaining
p...
Language models that utilize extensive self-supervised pre-training from...
In this paper, we consider data acquired by multimodal sensors capturing...
Optical imaging through scattering media is a fundamental challenge in m...
An important problem in multiview representation learning is finding the...
Factorization methods for recommender systems tend to represent users as...
Attention based models have become the new state-of-the-art in natural
l...
The problem of information fusion from multiple data-sets acquired by
mu...