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. (2024): 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. S. 160-168.

  PUB | DOI
   
• [5]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457

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

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• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381

  Schroeder, S.; Schulz, A.; Kenneweg, P.; 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. S. 403-410.

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• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382

  Kenneweg, P.; Schroeder, S.; Schulz, A.; 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. S. 205-212.

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600

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

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• [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: Hujun Yin; David Camacho; Peter Tino (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Cham: Springer International Publishing. (Lecture Notes in Computer Science, 13756). S. 252-261.

  PUB | DOI