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Publications

Displaying results 331 to 340 of 681.

  1. Manuela Schuler; Richard Membarth; Philipp Slusallek

    XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments

    In: David Kaeli (Hrsg.). ACM Transactions on Architecture and Code Optimization (TACO), Vol. 20, No. 1, Pages 17:1-17:25, ACM, 12/2022.

  2. Christoph Alt; Marc Hübner; Leonhard Hennig

    Improving Relation Extraction by Pre-trained Language Representations

    In: Proceedings of AKBC 2019. Automated Knowledge Base Construction (AKBC-2019), May 20-22, Amherst, Massachusetts, USA, OpenReview, 2019.

  3. Christoph Zetzsche; Ruth Rosenholtz; Noshaba Cheema; Konrad Gadzicki; Lex Fridman; Kerstin Schill

    Neural Computation of Statistical Image Properties in Peripheral Vision

    In: Vision Science Society (Hrsg.). MODVIS. Computational and Mathematical Models in Vision (MODVIS-2017), located at Vision Sciences Society Annual Meeting, May 17-19, St. Pete Beach, FL, USA, Purdue University, 5/2017.

  4. Praveen Kumar Badimala Giridhara; Chinmaya Mishra; Reddy Kumar Modam Venkataramana; Syed Saqib Bukhari; Andreas Dengel

    A Study of Various Text Augmentation Techniques for Relation Classification in Free Text

    In: The 8th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

  5. Veeru Dumpala; Sheela Raju Kurupathi; Syed Saqib Bukhari; Andreas Dengel

    Removal of Historical Document Degradations Using Conditional GANs , In International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019)

    In: The 8th International Conference on Pattern Recognition Applications and Methods ICPRAM 2019. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

  6. Vijaya Kumar Bajjer Ramanna; Syed Saqib Bukhari; Andreas Dengel

    Document Image Dewarping Using Deep Learning

    In: The 8th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

  7. Lia Ahrens; Julian Ahrens; Hans D. Schotten

    A machine-learning phase classification scheme for anomaly detection in signals with periodic characteristics

    In: EURASIP Journal on Advances in Signal Processing (ASP), Vol. 2019, No. 27, Pages 1-23, Springer International Publishing, 5/2019.

  8. Gabriel Mittag; Sebastian Möller

    Non-intrusive Estimation of Packet Loss Rates in Speech Communication Systems Using Convolutional Neural Networks

    In: 2018 IEEE International Symposium on Multimedia (ISM). IEEE International Symposium on Multimedia (ISM-2018), December 10-12, Taichung, Taiwan, Province of China, Pages 105-109, ISBN 978-1-5386-6857-3, IEEE, 2018.

  9. Dayananda Herurkar; Shoya Ishimaru; Andreas Dengel

    Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection

    In: Proc. UbiComp2018 Adjunct (Hrsg.). The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2018), October 8-12, Singapore, Singapore, Pages 54-57, ISBN 978-1-4503-5966-5, ACM, 2018.

  10. Benjamin Bischke; Patrick Helber; Joachim Folz; Damian Borth; Andreas Dengel

    Multi-task learning for segmentation of building footprints with neural networks

    In: AI4SocialGood. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, Louisiana, USA, arXiv, 2019.

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