PUB - Publikationen an der Universität Bielefeld

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• [7]
  

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

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

  PUB | PDF | DOI
   
• [6]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381

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

  PUB | DOI
   
• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382

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

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984047

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

  PUB | DOI
   
• [3]
  

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

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

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

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600

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

  PUB | DOI
   
• [1]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096

  Kenneweg, P., Schulz, A., Schroeder, S., Hammer, B.: Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. In: Yin, H., Camacho, D., and Tino, P. (eds.) Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Lecture Notes in Computer Science. 13756, p. 252-261. Springer International Publishing, Cham (2022).

  PUB | DOI