106 citations · 127 across the 10 of their papers we have counts for
15 papers
Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts
Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima +4
For a multilingual podcast streaming service, it is critical to be able to deliver relevant content to all users independent of language. Podcast content relevance is conventionall…
Generalization by design: Shortcuts to Generalization in Deep Learning
Petr Taborsky, Lars Kai Hansen
We take a geometrical viewpoint and present a unifying view on supervised deep learning with the Bregman divergence loss function - this entails frequent classification and predict…
A simple defense against adversarial attacks on heatmap explanations
Laura Rieger, Lars Kai Hansen
With machine learning models being used for more sensitive applications, we rely on interpretability methods to prove that no discriminating attributes were used for classification…
Client Adaptation improves Federated Learning with Simulated Non-IID Clients
Laura Rieger, Rasmus M. Th. Høegh, Lars K. Hansen
We present a federated learning approach for learning a client adaptable, robust model when data is non-identically and non-independently distributed (non-IID) across clients. By s…
Probabilistic Decoupling of Labels in Classification
Jeppe Nørregaard, Lars Kai Hansen
In this paper we develop a principled, probabilistic, unified approach to non-standard classification tasks, such as semi-supervised, positive-unlabelled, multi-positive-unlabelled…
IROF: a low resource evaluation metric for explanation methods
Laura Rieger, Lars Kai Hansen
The adoption of machine learning in health care hinges on the transparency of the used algorithms, necessitating the need for explanation methods. However, despite a growing litera…