Mar 7, 2021 · Abstract:Active inference, a theoretical construct inspired by brain processing, is a promising alternative to control artificial agents.

The VAE is trained to fool the adversarial network to believe that all the examples are from the labeled data while the adversarial classifier is trained to.

Mission: To develop a research strategy for prioritizing and speeding development of the most promising COVID-19 vaccines and therapeutics.

This paper addresses the often-overlooked aspect of query selection, which is closely related to active learning (AL). We propose a novel query selection ...

Aug 2, 2021 · Active learning is aimed to sample the most informative data from the unlabeled pool, and diverse clustering methods have been applied to it.

Variational Autoencoders (VAEs) are considered state-of-the-art techniques to learn unsupervised disentangled representations, that is, representations encoding ...

Nov 18, 2019 · In this paper, we propose a new approach to active learning by learning a mapping from the observed space to a lower-dimensional latent space.

Jun 15, 2023 · Shown on the screen is a video player queued to play a video. The player contains two regions. The first, at the bottom of the player is the ...