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Publikationen

Zeige Ergebnisse 1851 bis 1860 von 5314.
  1. Ramy Battrawy; René Schuster; Mohammad-Ali Nikouei Mahani; Didier Stricker

    RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds

    In: International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2022), IEEE International Conference on Robotics and Automation, May 23-27, Philadelphia, Pennsylvania (PA), USA, IEEE, 2022.

  2. Bernd Krieg-Brückner; Mark Robin Nolte; Mihai Pomarlan; Michaela Kümpel

    The Downgrading Axioms Challenge for Qualitative Composition of Food Ingredients

    In: Semantic Reasoning Evaluation Challenge, 21st International Semantic Web Conference. International Semantic Web Conference (ISWC-2022), Semantic Reasoning Evaluation Challenge, located at 21st International Semantic Web Conference, October 23-27, Hangzhou, China, CEUR Workshop Proceedings, Vol. 3337, CEUR Workshop Proceedings, 10/2022.

  3. Bo Zhou; Sungho Suh; Vitor Fortes Rey; Carlos Andres Velez Altamirano; Paul Lukowicz

    Quali-mat: Evaluating the quality of execution in body-weight exercises with a pressure sensitive sports mat

    In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, No. 2, Pages 1-45, ACM New York, NY, USA, 2022.

  4. Sungho Suh; Sojeong Cheon; Wonseo Choi; Yeon Woong Chung; Won-Kyung Cho; Ji-Sun Paik; Sung Eun Kim; Dong-Jin Chang; Yong Oh Lee

    Supervised segmentation with domain adaptation for small sampled orbital CT images

    In: Journal of Computational Design and Engineering (JCDE), Vol. 9, No. 2, Pages 783-792, Oxford University Press, 4/2022.

  5. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    To Trust or Not To Trust Prediction Scores for Membership Inference Attacks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2022), July 23-29, Vienna, Austria, Pages 3043-3049, ijcai.org, 2022.

  6. Lukas Struppek; Dominik Hintersdorf; Antonio De Almeida Correia; Antonia Adler; Kristian Kersting

    Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

    In: Kamalika Chaudhuri; Stefanie Jegelka; Le Song; Csaba Szepesvári; Gang Niu; Sivan Sabato (Hrsg.). International Conference on Machine Learning. International Conference on Machine Learning (ICML-2022), July 17-23, Baltimore, Maryland, USA, Pages 20522-20545, Proceedings of Machine Learning Research, Vol. 162, PMLR, 2022.

  7. Martin Mundt; Steven Lang; Quentin Delfosse; Kristian Kersting

    CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability

    In: The Tenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2022), April 25-29, OpenReview.net, 2022.

  8. Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Interactively Providing Explanations for Transformer Language Models

    In: Stefan Schlobach; María Pérez-Ortiz; Myrthe Tielman (Hrsg.). HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence. International Conference on Hybrid Human-Artificial Intelligence (HHAI-2022), June 13-17, Amsterdam, Netherlands, Pages 285-287, Frontiers in Artificial Intelligence and Applications, Vol. 354, IOS Press, 2022.

  9. Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

    In: FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 1350-1361, ISBN 978-1-4503-9352-2, ACM, 2022.

  10. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User-Level Label Leakage from Gradients in Federated Learning

    In: Proceedings on Privacy Enhancing Technologies (PoPETs), Vol. 2022, No. 2, Pages 227-244, De Gruyter, 2022.