6 Publikationen

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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. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1 (S. 160-168). Gehalten auf der 13th International Conference on Pattern Recognition Applications and Methods, Setúbal, Portugal: SCITEPRESS - Science and Technology Publications. doi:10.5220/0012577200003654.
    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 (Lecture Notes in Computer Science). In I. Rojas, G. Joya & A. 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 (S. 134-145). Cham: Springer Nature Switzerland. doi:10.1007/978-3-031-43085-5_11.
    PUB | DOI
     
  • [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? Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (S. 403-410). Gehalten auf der 12th International Conference on Pattern Recognition Applications and Methods, Setúbal, Portugal: SCITEPRESS - Science and Technology Publications. doi:10.5220/0011693700003411.
    PUB | DOI
     
  • [3]
    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 (S. 205-212). Gehalten auf der 12th International Conference on Pattern Recognition Applications and Methods, Setúbal, Portugal: SCITEPRESS - Science and Technology Publications. doi:10.5220/0011615300003411.
    PUB | DOI
     
  • [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 (S. 417-422). Gehalten auf der ESANN 2022 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Louvain-la-Neuve (Belgium): Ciaco - i6doc.com. doi: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 (Lecture Notes in Computer Science). In H. Yin, D. Camacho & P. Tino (Hrsg.), Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (S. 252-261). Gehalten auf der 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2022), Cham: Springer International Publishing. doi:10.1007/978-3-031-21753-1_25.
    PUB | DOI
     

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