| A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications N Simmler, P Sager, P Andermatt, R Chavarriaga, FP Schilling, ... 2021 8th Swiss Conference on Data Science (SDS), 26-31, 2021 | 19 | 2021 |
| Unsupervised domain adaptation for vertebrae detection and identification in 3D CT volumes using a domain sanity loss P Sager, S Salzmann, F Burn, T Stadelmann Journal of Imaging 8 (8), 222, 2022 | 6 | 2022 |
| Real world music object recognition L Tuggener, R Emberger, A Ghosh, P Sager, YP Satyawan, J Montoya, ... Transactions of the International Society for Music Information Retrieval 7 …, 2024 | 2 | 2024 |
| So you want your private LLM at home?: a survey and benchmark of methods for efficient GPTs L Tuggener, P Sager, Y Taoudi-Benchekroun, BF Grewe, T Stadelmann 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 …, 2024 | 1 | 2024 |
| Self-Organisation in a Biologically Inspired Learning Framework Based on Bernoulli Neurons P Sager, T Stadelmann, JM Deriu, C von der Malsburg | | 2023 |
| Building a Vision-Based AI Demonstrator with Unitree A1 Quadruped Robot TS LANGDUN, M OSWALD, T STADELMANN, P SAGER | | 2022 |
| Project Thesis 1: Towards Predicting Speech with Sequence Learners P Sager | | |
