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Publications

 

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Displaying results 71 to 80 of 798.
  1. 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, …

  2. 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 …

  3. 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 …

  4. Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM …

  5. Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting

    Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), …

  6. Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting

    DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

    In: Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi (Hrsg.). Artificial Intelligence in Medicine - 20th International Conference on Artificial …

  7. Veda C. Storey; Roman Lukayenko; Wolfgang Maaß; Jeffrey Parsons

    Explainable AI: Opening the Black Box or Pandora’s Box?

    In: Communications of the ACM (CACM), Vol. 0, Pages 0-0, 0, 2022.

  8. Jonas Rebstadt; Florian Remark; Philipp Fukas; Pascal Meier; Oliver Thomas

    Towards Personalized Explanations for AI Systems: Designing a Role Model for Explainable AI in Auditing

    In: Wirtschaftsinformatik Proceedings (2022). Internationale Tagung Wirtschaftsinformatik (WI-2022), February 21-23, Erlangen-Nürnberg, Germany, …

  9. Roland Sonsalla; Steffen Planthaber; Raúl Domínguez; Alexander Dettmann; Florian Cordes; Benjamin Hülsen; Christopher Schulz; Patrick Schöberl; Sebastian Kasperski; Henning Wiedemann; Frank Kirchner

    Towards a Semi-Autonomous Robotic Exploration of a Lunar Skylight Cavity

    In: Proceedings of the IEEE Aerospace Conference. IEEE Aerospace Conference, March 5-12, Big Sky, Montana, USA, IEEE, 3/2022.

  10. Martin Feick; Kora Regitz; Anthony Tang; Antonio Krüger

    Designing Visuo-Haptic Illusions with Proxies in Virtual Reality: Exploration of Grasp, Movement Trajectory and Object Mass

    In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems …