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<titleInfo><title>Interactive Pareto navigation for deep multi-task learning</title></titleInfo>





<name type="personal">
  <namePart type="given">Augustina Chidinma</namePart>
  <namePart type="family">Amakor</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">97916</identifier></name>
<name type="personal">
  <namePart type="given">Konstantin</namePart>
  <namePart type="family">Sonntag</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">56399</identifier><description xsi:type="identifierDefinition" type="orcid">https://orcid.org/0000-0003-3384-3496</description></name>
<name type="personal">
  <namePart type="given">Sebastian</namePart>
  <namePart type="family">Peitz</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">47427</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-3389-793X</description></name>







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  <identifier type="local">655</identifier>
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<originInfo><dateIssued encoding="w3cdtf">2026</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>own</topic><topic>own-conference</topic>
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<relatedItem type="host"><titleInfo><title>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)</title></titleInfo><identifier type="doi">10.1007/978-3-032-37667-1_37</identifier>
<part><extent unit="pages">652-668</extent>
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<chicago>Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “Interactive Pareto Navigation for Deep Multi-Task Learning.” In &lt;i&gt;European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)&lt;/i&gt;, 652–68, 2026. &lt;a href=&quot;https://doi.org/10.1007/978-3-032-37667-1_37&quot;&gt;https://doi.org/10.1007/978-3-032-37667-1_37&lt;/a&gt;.</chicago>
<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.</short>
<ieee>A. C. Amakor, K. Sonntag, and S. Peitz, “Interactive Pareto navigation for deep multi-task learning,” in &lt;i&gt;European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)&lt;/i&gt;, 2026, pp. 652–668, doi: &lt;a href=&quot;https://doi.org/10.1007/978-3-032-37667-1_37&quot;&gt;10.1007/978-3-032-37667-1_37&lt;/a&gt;.</ieee>
<apa>Amakor, A. C., Sonntag, K., &amp;#38; Peitz, S. (2026). Interactive Pareto navigation for deep multi-task learning. &lt;i&gt;European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)&lt;/i&gt;, 652–668. &lt;a href=&quot;https://doi.org/10.1007/978-3-032-37667-1_37&quot;&gt;https://doi.org/10.1007/978-3-032-37667-1_37&lt;/a&gt;</apa>
<bibtex>@inproceedings{Amakor_Sonntag_Peitz_2026, title={Interactive Pareto navigation for deep multi-task learning}, DOI={&lt;a href=&quot;https://doi.org/10.1007/978-3-032-37667-1_37&quot;&gt;10.1007/978-3-032-37667-1_37&lt;/a&gt;}, 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} }</bibtex>
<ama>Amakor AC, Sonntag K, Peitz S. Interactive Pareto navigation for deep multi-task learning. In: &lt;i&gt;European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)&lt;/i&gt;. ; 2026:652-668. doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-032-37667-1_37&quot;&gt;10.1007/978-3-032-37667-1_37&lt;/a&gt;</ama>
<mla>Amakor, Augustina Chidinma, et al. “Interactive Pareto Navigation for Deep Multi-Task Learning.” &lt;i&gt;European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)&lt;/i&gt;, 2026, pp. 652–68, doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-032-37667-1_37&quot;&gt;10.1007/978-3-032-37667-1_37&lt;/a&gt;.</mla>
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