Sarah Schroeder
PEVZ-ID
6 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Schroeder, 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, 160-168. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012577200003654PUB | DOI
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Schroeder, 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 I. Rojas, G. Joya, & A. Catala (Eds.), Lecture Notes in Computer Science. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (pp. 134-145). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43085-5_11PUB | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381Schroeder, 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/10.5220/0011693700003411PUB | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382Kenneweg, 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/10.5220/0011615300003411PUB | DOI
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600Kenneweg, 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.ES2022-45PUB | DOI
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Kenneweg, 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_25PUB | DOI