PUB - Publikationen an der Universität Bielefeld

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• [6]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572

  Schroeder S, Schulz A, Hinder F, Hammer B. Semantic Properties of Cosine Based Bias Scores for Word Embeddings. In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications; 2024: 160-168.

  PUB | DOI
   
• [5]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457

  Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B. Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. In: Rojas I, Joya G, Catala A, eds. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2023: 134-145.

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381

  Schroeder S, Schulz A, Kenneweg P, Hammer B. 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; 2023: 403-410.

  PUB | DOI
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382

  Kenneweg P, Schroeder S, Schulz A, Hammer B. 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; 2023: 205-212.

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600

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

  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, 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. Vol 13756. Cham: Springer International Publishing; 2022: 252-261.

  PUB | DOI