PhD Student
pkenneweg@techfak.uni-bielefeld.de +49 521 106-12681Room: CITEC 2-108
Philip Kenneweg studied B.Sc. Naturwissenschaftliche Informatik (2017) and M.Sc. Naturwissenschaftliche Informatik (2020) at Bielefeld University.
Since 2020 he is a researcher in the Machine Learning group at Bielefeld University. He is also active in the Startup World and won the first prize at the Makeathon OWL https://ki-marktplatz.com/angebote/zeitenwendeowl/ for his work on intelligent Energy Management.
His primary area of research is Deep Learning, with a focus on optimization algorithms as well as Diffusion Models and Transformer applications.
So Can We Use Intrinsic Bias Measures or Not?
Schroeder S, Schulz A, Kenneweg P, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 403-410.
Debiasing Sentence Embedders Through Contrastive Word Pairs
Kenneweg P, Schroeder S, Schulz A, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 205-212.
Faster Convergence for Transformer Fine-tuning with Line Search Methods
Kenneweg P, Galli L, Kenneweg T, Hammer B (2023)
In: 2023 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8.
Novel transfer learning schemes based on Siamese networks and synthetic data
Kenneweg P, Stallmann D, Hammer B (2022)
Neural Computing and Applications 35: 8423–8436.
Neural Architecture Search for Sentence Classification with BERT
Kenneweg P, Schroeder S, Hammer B (2022)
In: ESANN 2022 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 417-422.
Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers
Kenneweg P, Schulz A, Schroeder S, Hammer B (2022)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 252-261.