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Publications

Displaying results 291 to 300 of 670.

  1. Ekaterina Borisova; Raia Abu Ahmad; Leyla Garcia-Castro; Ricardo Usbeck; Georg Rehm

    Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse

    In: Sophie Henning; Manfred Stede (Hrsg.). Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII). Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 17-22, St. Julians, Malta, Pages 29-45, Association for Computational Linguistics, 3/2024.

  2. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable Sustainability, Human-Centered Green Technology for Community-wide Carbon Reduction, located at ACM CHI 2024, May 11, Honolulu, HI, USA, ISBN 979-8-4007-0331-7, ACM, New York, USA, 5/2024.

  3. Jason Raphael Rambach; Bruno Mirbach; Yuriy Anisimov; Didier Stricker

    Time-of-Flight Depth Sensing for Automotive Safety and Smart Building Applications: The VIZTA Project

    In: IEEE Access (IEEE), Vol. 11, Pages 105819-105829, IEEE, 10/2023.

  4. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  5. Quentin Delfosse; Jannis Blüml; Bjarne Gregori; Sebastian Sztwiertnia; Kristian Kersting

    OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.08649, Pages 0-10, arXiv, 2023.

  6. Lukas Helff; Wolfgang Stammer; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    V-LoL: A Diagnostic Dataset for Visual Logical Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.07743, Pages 0-10, arXiv, 2023.

  7. Steven Braun; Martin Mundt; Kristian Kersting

    Deep Classifier Mimicry without Data Access

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.02090, Pages 0-10, arXiv, 2023.

  8. Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

    Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

    In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 - August 4, Pittsburgh, PA, USA, Pages 1964-1973, Proceedings of Machine Learning Research, Vol. 216, PMLR, 2023.

  9. Jason Raphael Rambach; Aditya Tewari; Alain Pagani; Didier Stricker

    Learning to Fuse: A Deep Learning Approach to Visual-Inertial Camera Pose Estimation

    In: Proceedings of IEEE International Symposium on Mixed and Augmented Reality |. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2016), September 19-23, Merida, Mexico, IEEE, 9/2016.

  10. Peter Adolphs; Feiyu Xu; Hans Uszkoreit; Hong Li

    Dependency Graphs as a Generic Interface between Parsers and Relation Extraction Rule Learning

    In: Proceedings of the 34th Annual German Conference on Artificial Intelligence. German Conference on Artificial Intelligence (KI-2011), 34th, October 4-7, Berlin, Germany, Springer, 10/2011.

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