15 citations · 30 across the 6 of their papers we have counts for
3 papers · 1 filter
The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time
John Martinsson, Tuomas Virtanen, Maria Sandsten +1
Accurate labels are critical for deriving robust machine learning models. Labels are used to train supervised learning models and to evaluate most machine learning paradigms. In th…
Specialized federated learning using a mixture of experts
Edvin Listo Zec, Olof Mogren, John Martinsson +2
In federated learning, clients share a global model that has been trained on decentralized local client data. Although federated learning shows significant promise as a key approac…
Adversarial representation learning for synthetic replacement of private attributes
John Martinsson, Edvin Listo Zec, Daniel Gillblad +1
Data privacy is an increasingly important aspect of many real-world Data sources that contain sensitive information may have immense potential which could be unlocked using the rig…