• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 31 matches

• 2024
• 
  Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi:
  Layer-wise linear mode connectivity. ICLR 2024
• 
  Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp:
  The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective. CoRR abs/2405.16918 (2024)
• 
  Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann:
  Landscaping Linear Mode Connectivity. CoRR abs/2406.16300 (2024)
• 2023
• 
  Linara Adilova, Bernhard C. Geiger, Asja Fischer:
  Information Plane Analysis for Dropout Neural Networks. ICLR 2023
• 
  Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
  FAM: Relative Flatness Aware Minimization. TAG-ML 2023: 37-49
• 
  Linara Adilova, Bernhard C. Geiger, Asja Fischer:
  Information Plane Analysis for Dropout Neural Networks. CoRR abs/2303.00596 (2023)
• 
  Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
  FAM: Relative Flatness Aware Minimization. CoRR abs/2307.02337 (2023)
• 
  Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel:
  Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. CoRR abs/2307.03681 (2023)
• 
  Linara Adilova, Asja Fischer, Martin Jaggi:
  Layerwise Linear Mode Connectivity. CoRR abs/2307.06966 (2023)
• 2022
• 
  Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Stefan Wrobel, Theresa-Marie Rhyne:
  Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications 42(1): 123-133 (2022)
• 2021
• 
  Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz:
  Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CVPR Workshops 2021: 85-92
• 
  Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley:
  Relative Flatness and Generalization. NeurIPS 2021: 18420-18432
• 
  Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer:
  Approaches to Uncertainty Quantification in Federated Deep Learning. PKDD/ECML Workshops (1) 2021: 128-145
• 
  Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
  Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents]
• 
  Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
  Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents]
• 
  Linara Adilova, Siming Chen, Michael Kamp:
  Novelty Detection in Sequential Data by Informed Clustering and Modeling. CoRR abs/2103.03943 (2021)
• 
  Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz:
  Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CoRR abs/2104.09254 (2021)
• 2020
• 
  Siming Chen, Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Jérémie Barlet, Jörg Kindermann, Phong H. Nguyen, Olivier Thonnard, Cagatay Turkay:
  LDA Ensembles for Interactive Exploration and Categorization of Behaviors. IEEE Trans. Vis. Comput. Graph. 26(9): 2775-2792 (2020)
• 
  Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
  Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops 2020: 129-144
• 
  Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
  ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents]
• 
  Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
  Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks. CoRR abs/2001.00939 (2020)
• 
  Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
  Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR abs/2009.12098 (2020)
• 2019
• 
  Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
  System Misuse Detection Via Informed Behavior Clustering and Modeling. DSN Workshops 2019: 15-23
• 
  Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
  System Misuse Detection via Informed Behavior Clustering and Modeling. CoRR abs/1907.00874 (2019)
• 
  Linara Adilova, Julia Rosenzweig, Michael Kamp:
  Information-Theoretic Perspective of Federated Learning. CoRR abs/1911.07652 (2019)
• 
  Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
  A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. CoRR abs/1912.00058 (2019)
• 2018
• 
  Linara Adilova, Nathalie Paul, Peter Schlicht:
  Introducing Noise in Decentralized Training of Neural Networks. DMLE/IOTSTREAMING@PKDD/ECML 2018: 37-48
• 
  Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
  Efficient Decentralized Deep Learning by Dynamic Model Averaging. ECML/PKDD (1) 2018: 393-409
• 
  Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
  Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR abs/1807.03210 (2018)
• 
  Linara Adilova, Sven Giesselbach, Stefan Rüping:
  Making Efficient Use of a Domain Expert's Time in Relation Extraction. CoRR abs/1807.04687 (2018)

skipping 1 more match