{"date_created":"2026-10-01T11:56:15Z","department":[{"_id":"655"}],"oa":"1","type":"conference","keyword":["own","own-conference"],"citation":{"bibtex":"@inproceedings{Amakor_Sonntag_Peitz_2026, title={Interactive Pareto navigation for deep multi-task learning}, DOI={10.1007/978-3-032-37667-1_37}, booktitle={European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)}, author={Amakor, Augustina Chidinma and Sonntag, Konstantin and Peitz, Sebastian}, year={2026}, pages={652–668} }","ama":"Amakor AC, Sonntag K, Peitz S. Interactive Pareto navigation for deep multi-task learning. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). ; 2026:652-668. doi:10.1007/978-3-032-37667-1_37","mla":"Amakor, Augustina Chidinma, et al. “Interactive Pareto Navigation for Deep Multi-Task Learning.” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–68, doi:10.1007/978-3-032-37667-1_37.","chicago":"Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “Interactive Pareto Navigation for Deep Multi-Task Learning.” In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 652–68, 2026. https://doi.org/10.1007/978-3-032-37667-1_37.","short":"A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668.","ieee":"A. C. Amakor, K. Sonntag, and S. Peitz, “Interactive Pareto navigation for deep multi-task learning,” in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668, doi: 10.1007/978-3-032-37667-1_37.","apa":"Amakor, A. C., Sonntag, K., & Peitz, S. (2026). Interactive Pareto navigation for deep multi-task learning. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 652–668. https://doi.org/10.1007/978-3-032-37667-1_37"},"publication":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)","language":[{"iso":"eng"}],"_id":"67303","main_file_link":[{"url":"https://arxiv.org/abs/2606.19521","open_access":"1"}],"page":"652-668","user_id":"47427","doi":"10.1007/978-3-032-37667-1_37","author":[{"last_name":"Amakor","first_name":"Augustina Chidinma","full_name":"Amakor, Augustina Chidinma","id":"97916"},{"orcid":"https://orcid.org/0000-0003-3384-3496","last_name":"Sonntag","first_name":"Konstantin","full_name":"Sonntag, Konstantin","id":"56399"},{"id":"47427","full_name":"Peitz, Sebastian","first_name":"Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz"}],"title":"Interactive Pareto navigation for deep multi-task learning","year":"2026","status":"public","date_updated":"2026-10-01T11:58:43Z"}