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. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. p. 160-168. SCITEPRESS - Science and Technology Publications, Setúbal, Portugal (2024).

  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., and 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. p. 134-145. Springer Nature Switzerland, Cham (2023).

  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? 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
   
• [3]
  

  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
   
• [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).

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• [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