3 papers
cs.CL2025
A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems
Lasse Borgholt, Jakob Havtorn, Christian Igel +2
Modern neural networks have greatly improved performance across speech recognition benchmarks. However, gains are often driven by frequent words with limited semantic weight, which…
cs.LG2024
On Uniform, Bayesian, and PAC-Bayesian Deep Ensembles
Nick Hauptvogel, Christian Igel
It is common practice to combine deep neural networks into ensembles. These deep ensembles can benefit from the cancellation of errors effect: Errors by ensemble members may averag…
cs.CV2023
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
Matthias Freiberger, Peter Kun, Christian Igel +2
Models leveraging both visual and textual data such as Contrastive Language-Image Pre-training (CLIP), are the backbone of many recent advances in artificial intelligence. In this…