1 code implementation • ICLR 2020 • Ondrej Skopek, Octavian-Eugen Ganea, Gary Bécigneul
Euclidean geometry has historically been the typical "workhorse" for machine learning applications due to its power and simplicity.
1 code implementation • 20 Feb 2019 • Lukas Jendele, Ondrej Skopek, Anton S. Becker, Ender Konukoglu
Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging.
2 code implementations • 19 Nov 2018 • Anton S. Becker, Lukas Jendele, Ondrej Skopek, Nicole Berger, Soleen Ghafoor, Magda Marcon, Ender Konukoglu
At the higher resolution, all radiologists showed significantly lower detection rate of cancer in the modified images (0. 77-0. 84 vs. 0. 59-0. 69, p=0. 008), however, they were now able to reliably detect modified images due to better visibility of artifacts (0. 92, 0. 92 and 0. 97).
no code implementations • 20 Oct 2020 • Daria Soboleva, Ondrej Skopek, Márius Šajgalík, Victor Cărbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos
We present a novel multi-modal unspoken punctuation prediction system for the English language which combines acoustic and text features.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 12 Oct 2023 • Ondrej Skopek, Rahul Aralikatte, Sian Gooding, Victor Carbune
Despite recent advances, evaluating how well large language models (LLMs) follow user instructions remains an open problem.