| Evaluating metrics for bias in word embeddings S Schröder, A Schulz, P Kenneweg, R Feldhans, F Hinder, B Hammer arXiv preprint arXiv:2111.07864, 2021 | 9 | 2021 |
| So Can We Use Intrinsic Bias Measures or Not? S Schröder, A Schulz, P Kenneweg, B Hammer ICPRAM, 403-410, 2023 | 3 | 2023 |
| Intelligent learning rate distribution to reduce catastrophic forgetting in transformers P Kenneweg, A Schulz, S Schröder, B Hammer International Conference on Intelligent Data Engineering and Automated …, 2022 | 1 | 2022 |
| The same score: Improved cosine based bias score for word embeddings S Schröder, A Schulz, P Kenneweg, R Feldhans, F Hinder, B Hammer arXiv preprint arXiv:2203.14603, 2022 | 1 | 2022 |
| Debiasing Sentence Embedders through Contrastive Word Pairs P Kenneweg, S Schröder, A Schulz, B Hammer arXiv preprint arXiv:2403.18555, 2024 | | 2024 |
| Neural Architecture Search for Sentence Classification with BERT P Kenneweg, S Schröder, B Hammer arXiv preprint arXiv:2403.18547, 2024 | | 2024 |
| Semantic Properties of cosine based bias scores for word embeddings S Schröder, A Schulz, F Hinder, B Hammer arXiv preprint arXiv:2401.15499, 2024 | | 2024 |
| Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation S Schröder, A Schulz, I Tarakanov, R Feldhans, B Hammer International Work-Conference on Artificial Neural Networks, 134-145, 2023 | | 2023 |
