Sarah Schroeder
PEVZ-ID
6 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Schroeder, Sarah, Schulz, Alexander, Hinder, Fabian, and Hammer, Barbara. 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, 160-168. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications.
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Schroeder, Sarah, Schulz, Alexander, Tarakanov, Ivan, Feldhans, Robert, and Hammer, Barbara. 2023. “Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation”. In Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala, 134-145. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381Schroeder, Sarah, Schulz, Alexander, Kenneweg, Philip, and Hammer, Barbara. 2023. “So Can We Use Intrinsic Bias Measures or Not?”. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 403-410. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications.
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382Kenneweg, Philip, Schroeder, Sarah, Schulz, Alexander, and Hammer, Barbara. 2023. “Debiasing Sentence Embedders Through Contrastive Word Pairs”. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 205-212. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications.
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Kenneweg, Philip, Schulz, Alexander, Schroeder, Sarah, and Hammer, Barbara. 2022. “Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers”. In Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, ed. Hujun Yin, David Camacho, and Peter Tino, 13756:252-261. Lecture Notes in Computer Science. Cham: Springer International Publishing.