2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
The Speed-up Factor: A Quantitative Multi-Iteration Active Learning Performance Metric
Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag
Machine learning models excel with abundant annotated data, but annotation is often costly and time-intensive. Active learning (AL) aims to improve the performance-to-annotation ra…
cs.HC2023★ 2 cited
A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models
Hannes Kath, Bengt Lüers, Thiago S. Gouvêa +1
Deep learning is ubiquitous, but its lack of transparency limits its impact on several potential application areas. We demonstrate a virtual reality tool for automating the process…
cs.LG2023★ 1 cited
A Deep Generative Model for Interactive Data Annotation through Direct Manipulation in Latent Space
Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag
The impact of machine learning (ML) in many fields of application is constrained by lack of annotated data. Among existing tools for ML-assisted data annotation, one little explore…