PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2025 | Bielefelder E-Dissertation | PUB-ID: 3002246

  Kenneweg, P. (2025). On Deep Network Optimization. Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [6]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381

  Schroeder, S., Schulz, A., Kenneweg, P., and Hammer, B. (2023). “So Can We Use Intrinsic Bias Measures or Not?” in Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (Setúbal, Portugal: SCITEPRESS - Science and Technology Publications), 403-410.

  PUB | DOI
   
• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382

  Kenneweg, P., Schroeder, S., Schulz, A., and Hammer, B. (2023). “Debiasing Sentence Embedders Through Contrastive Word Pairs” in Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (Setúbal, Portugal: SCITEPRESS - Science and Technology Publications), 205-212.

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984047

  Kenneweg, P., Galli, L., Kenneweg, T., and Hammer, B. (2023). “Faster Convergence for Transformer Fine-tuning with Line Search Methods” in 2023 International Joint Conference on Neural Networks (IJCNN) (IEEE), 1-8.

  PUB | DOI
   
• [3]
  

  2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2967683

  Kenneweg, P., Stallmann, D., and Hammer, B. (2022). Novel transfer learning schemes based on Siamese networks and synthetic data. Neural Computing and Applications 35, 8423–8436.

  PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600

  Kenneweg, P., Schroeder, S., and Hammer, B. (2022). “Neural Architecture Search for Sentence Classification with BERT” in ESANN 2022 proceedings (Louvain-la-Neuve (Belgium): Ciaco - i6doc.com), 417-422.

  PUB | DOI
   
• [1]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096

  Kenneweg, P., Schulz, A., Schroeder, S., and Hammer, B. (2022). “Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers” 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., and Tino, P. eds. Lecture Notes in Computer Science, vol. 13756, (Cham: Springer International Publishing), 252-261.

  PUB | DOI