| Knodle: modular weakly supervised learning with PyTorch A Sedova, A Stephan, M Speranskaya, B Roth Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2021 | 9 | 2021 |
| Weaker Than You Think: A Critical Look atWeakly Supervised Learning D Zhu, X Shen, M Mosbach, A Stephan, D Klakow Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 5 | 2023 |
| SepLL: Separating latent class labels from weak supervision noise A Stephan, V Kougia, B Roth Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 4 | 2022 |
| Counterfactual Reasoning with Knowledge Graph Embeddings L Zellinger, A Stephan, B Roth Proceedings of the 18th Conference of the European Chapter of the …, 2024 | | 2024 |
| Text-Guided Image Clustering A Stephan, L Miklautz, K Sidak, JP Wahle, B Gipp, C Plant, B Roth Proceedings of the 18th Conference of the European Chapter of the …, 2024 | | 2024 |
| Seeing through the mess: evolutionary dynamics of lexical polysemy A Baumann, A Stephan, B Roth Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering M Aßenmacher, L Rauch, J Goschenhofer, A Stephan, B Bischl, B Roth, ... 7th International Workshop & Tutorial on Interactive Adaptive Learning, 2023 | | 2023 |
| CLUSTERBERT: MULTI-STAGE FINE-TUNING OF TRANSFORMERS FOR DEEP TEXT CLUSTERING M Teuffenbach, A Stephan, Y Xia, C Plant, B Roth | | 2022 |
| WeaNF: Weak Supervision with Normalizing Flows A Stephan, B Roth In Proceedings of the 7th Workshop on Representation Learning for NLP, 2022 | | 2022 |
