PUB - Publikationen an der Universität Bielefeld

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• [6]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984047

  Kenneweg, P., Galli, L., Kenneweg, T., & Hammer, B. (2023). Faster Convergence for Transformer Fine-tuning with Line Search Methods. 2023 International Joint Conference on Neural Networks (IJCNN), 1-8. IEEE. https://doi.org/10.1109/IJCNN54540.2023.10192001

  PUB | DOI
   
• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381

  Schroeder, S., Schulz, A., Kenneweg, P., & Hammer, B. (2023). So Can We Use Intrinsic Bias Measures or Not? Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 403-410. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0011693700003411

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382

  Kenneweg, P., Schroeder, S., Schulz, A., & Hammer, B. (2023). Debiasing Sentence Embedders Through Contrastive Word Pairs. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 205-212. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0011615300003411

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• [3]
  

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

  Kenneweg, P., Stallmann, D., & Hammer, B. (2022). Novel transfer learning schemes based on Siamese networks and synthetic data. Neural Computing and Applications, 35, 8423–8436. https://doi.org/10.1007/s00521-022-08115-2

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

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600

  Kenneweg, P., Schroeder, S., & Hammer, B. (2022). Neural Architecture Search for Sentence Classification with BERT. ESANN 2022 proceedings, 417-422. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com. https://doi.org/10.14428/esann/2022.ES2022-45

  PUB | DOI
   
• [1]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096

  Kenneweg, P., Schulz, A., Schroeder, S., & Hammer, B. (2022). Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. In H. Yin, D. Camacho, & P. Tino (Eds.), Lecture Notes in Computer Science: Vol. 13756. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (pp. 252-261). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-21753-1_25

  PUB | DOI