Sarah Schroeder
PEVZ-ID
6 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Schroeder, Sarah, Schulz, Alexander, Hinder, Fabian, and Hammer, Barbara. “Semantic Properties of Cosine Based Bias Scores for Word Embeddings”. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, 2024. 160-168.PUB | DOI
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Schroeder, Sarah, Schulz, Alexander, Tarakanov, Ivan, Feldhans, Robert, and Hammer, Barbara. “Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation”. 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. Cham: Springer Nature Switzerland, 2023. Lecture Notes in Computer Science. 134-145.PUB | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381Schroeder, Sarah, Schulz, Alexander, Kenneweg, Philip, and Hammer, Barbara. “So Can We Use Intrinsic Bias Measures or Not?”. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, 2023. 403-410.PUB | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382Kenneweg, Philip, Schroeder, Sarah, Schulz, Alexander, and Hammer, Barbara. “Debiasing Sentence Embedders Through Contrastive Word Pairs”. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, 2023. 205-212.PUB | DOI
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Kenneweg, Philip, Schulz, Alexander, Schroeder, Sarah, and Hammer, Barbara. “Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers”. 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. Cham: Springer International Publishing, 2022.Vol. 13756. Lecture Notes in Computer Science. 252-261.PUB | DOI