research
∙
09/20/2021
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks
Small neural networks with a constrained number of trainable parameters,...
share
research
∙
06/21/2020
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
Missing data is one of the most common preprocessing problems. In this p...
research
∙
03/20/2020
Unsupervised Latent Space Translation Network
One task that is often discussed in a computer vision is the mapping of ...
research
∙
11/10/2019
Constructing a Data Visualization Recommender System
Choosing a suitable visualization for data is a difficult task. Current ...
research
∙
11/09/2019
