000 Computer science, information and general works > 000 Computer science, knowledge, and systems

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Abbaszadeh, Sadegh ORCID: 0000-0002-8257-0116; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (December 2021): Machine Learning With the Sugeno Integral: The Case of Binary Classification. In: IEEE Transactions on Fuzzy Systems, No. 12: pp. 3723-3733

Adel, Heike; Schütze, Hinrich (September 2019): Type-aware Convolutional Neural Networks for Slot Filling. In: Journal of Artificial Intelligence Research, Vol. 66: pp. 297-339 [PDF, 496kB]

Ahmadi Fahandar, Mohsen; Hüllermeier, Eyke (April 2021): Analogical Embedding for Analogy-Based Learning to Rank. Advances in Intelligent Data Analysis XIX. IDA 2021, April 26-28, 2021, Porto, Portugal.

Allioli, Joseph Franz (1830): Ueber die Aufgabe des Lebens auf Hochschulen in Bezug auf Wissenschaft und Gesittung. München [PDF, 11MB]

Aschersleben, G.; Gstalter, Herbert; Kaiser, F.; Strube, V.; Zang, B. (1989): Prototyping als Verfahren zur Software-Entwicklung. Literaturanalyse und Expertengespräche. In: Zeitschrift für Arbeitswissenschaft, No. 43: pp. 42-47 [PDF, 4MB]

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Bayer, Hieronymus (1831): Rede an die Studirenden der Ludwigs-Maximilians-Universität in München. München: Weber. [PDF, 6MB]

Behmel, Andreas; Kienzl, Thomas; Höhl, Wolfgang (11. September 2014): [DEMO] MRI Design Review System. A Mixed Reality Interactive Design Review System for Architecture, Serious Games and Engineering using Game Engines, Standard Software, a Tablet Computer and Natural Interfaces. ISMAR 2014 International Symposium on Mixed and Augmented Reality, 08. - 12. September 2014, Technische Universität München. [PDF, 257kB]

Bengs, Viktor; Busa-Fekete, Róbert; Mesaoudi-Paul, Adil El; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (January 2021): Preference-based Online Learning with Dueling Bandits: A Survey. In: Journal of Machine Learning Research, Vol. 22, No. 7: pp. 1-108

Bengs, Viktor; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (July 2020): Preselection Bandits. 37th International Conference on Machine Learning, July 12-18 2020, Virtual.

Bengs, Viktor; Saha, Aadirupa; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (July 2022): Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models. 39th International Conference on Machine Learning, July 17-23 2022, Baltimore, MD, USA.

Berger, Benedikt ORCID: 0000-0001-8220-7686; Niedernhuber, Tanja ORCID: 0000-0002-4986-8252; Hess, Thomas; Engländer, Armin (June 2021): Nutzung digitaler Tools in Lehrveranstaltungen. München [PDF, 6MB]

Bernhart, Elias ORCID: 0000-0002-8858-0841 (18. January 2018): Orientierung zum Datenmanagement und Hinweise für die Erstellung eines Datenmanagementplans für qualitative Daten an der LMU München. [PDF, 1MB]

Biagini, Francesca (2017): Quantitative Network Science (QNetS). CAS Concepts, Vol. 5. München: Ludwig-Maximilians-Universität. [PDF, 849kB]

Bresson, Roman; Cohen, Johanne; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108; Labreuche, Christophe; Sebag, Michèle (2020): Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals. Twenty-Ninth International Joint Conference on Artificial Intelligence, January 7-15, 2021, Yokohama, Japan (Virtual).

Bresson, Roman; Cohen, Johanne; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108; Labreuche, Christophe; Sebag, Michèle (3. November 2021): On the Identifiability of Hierarchical Decision Models. International Conference on Principles of Knowledge Representation and Reasoning, November 3-12, 2021, Virtual.

Brinkhoff, Thomas; Horn, H.; Kriegel, Hans-Peter; Schneider, Ralf (1993): Eine Speicher- und Zugriffsarchitektur für effiziente Anfragebearbeitung in Geo-Datenbankensystemen. Fachtagung Datenbanksysteme in Büro, Technik und Wissenschaft, 1993, Braunschweig. [PDF, 2MB]

Broschart, Daniel; Höhl, Wolfgang (1. April 2015): Augmented Reality in Architektur und Stadtplanung. Potenziale von Augmented Reality in Architektur und Stadtplanung. In: GIS Science, No. 1: pp. 20-29 [PDF, 847kB]

Burghardt, Manuel; Isemann, Daniel; Kattenbeck, Markus; Ludwig, Bernd; Wolff, Christian (2018): Digital Humanities an der Universität Regensburg. Geschichte – Projekte – Studiengang. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 115-128 [PDF, 1MB]

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Campagner, Andrea ORCID: 0000-0002-0027-5157; Ciucci, Davide ORCID: 0000-0002-8083-7809; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (June 2021): Rough set-based feature selection for weakly labeled data. In: International Journal of Approximate Reasoning: pp. 150-167

Cornolti, Marco; Ferragina, Paolo; Ciaramita, Massimiliano; Rüd, Stefan; Schütze, Hinrich (December 2018): SMAPH: A Piggyback Approach for Entity-Linking in Web Queries. In: ACM Transactions on Information Systems, Vol. 37, No. 1, 13 [PDF, 1MB]

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Dari, Simone; Kadrileev, Nikolay; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (July 2020): A Neural Network-Based Driver Gaze Classification System with Vehicle Signals. 2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, UK.

Dufter, Philipp; Kassner, Nora; Schütze, Hinrich (June 2021): Static Embeddings as Efficient Knowledge Bases? 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 6-11, 2021, Online. [PDF, 340kB]

Dufter, Philipp; Schütze, Hinrich (November 2018): A Stronger Baseline for Multilingual Word Embeddings. [PDF, 173kB]

Dufter, Philipp; Schütze, Hinrich (3. November 2019): Analytical Methods for Interpretable Ultradense Word Embeddings. UNSPECIFIED, November 3–7, 2019, Hong Kong, China [PDF, 423kB]

Dufter, Philipp; Schütze, Hinrich (November 2020): Identifying Elements Essential for BERT’s Multilinguality. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 16th – 20th November 2020, Online. [PDF, 863kB]

Dufter, Philipp; Schütze, Hinrich (1. May 2020): Identifying Necessary Elements for BERT’s Multilinguality. [PDF, 631kB]

Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin; Fraser, Alexander; Schütze, Hinrich (July 2018): Embedding Learning Through Multilingual Concept Induction. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), July 15-20, 2018, Melbourne, Australia. [PDF, 453kB]

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Erhard, Florian; Doelken, Lars; Jaskiewicz, Lukasz; Zimmer, Ralf (2013): PARma: identification of microRNA target sites in AGO-PAR-CLIP data. In: Genome Biology 14:R79 [PDF, 3MB]

Ess, Hans van (2016): Zur Situation der Geisteswissenschaften heute. CAS eSeries, Vol. 13. München: Ludwig-Maximilians-Universität. [PDF, 1MB]

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Fakesch, Jens (25. July 2016): Multi-User 3D Augmented Reality Anwendung für die gemeinsame Interaktion mit virtuellen 3D Objekten. Master Thesis, Faculty of Mathematics, Computer Science and Statistics, Ludwig-Maximilians-Universität München. [PDF, 31MB]

Feldhans, Robert; Wilke, Adrian; Heindorf, Stefan; Shaker, Mohammad Hossein; Hammer, Barbara; Ngonga Ngomo, Axel-Cyrille; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (November 2021): Drift Detection in Text Data with Document Embeddings. Intelligent Data Engineering and Automated Learning – IDEAL 2021, November 25-27, 2021, Manchester, United Kingdom.

Fischer, Frank; Wecker, Christof; Stegmann, Karsten (October 2015): Auswirkungen digitaler Medien auf den Wissens- und Kompetenzerwerb in der Schule. [PDF, 438kB]

Frank, Markus (2018): Digital Humanities Sprachwissenschaften. Schwerpunkte bei der Entwicklung eines sprachwissenschaftlichen DH-Nebenfaches. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 103-114 [PDF, 148kB]

Fritz, Cornelius; Lebacher, Michael; Kauermann, Göran (2020): Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time. In: Statistica Neerlandica, Vol. 74, No. 3: pp. 275-299 [PDF, 3MB]

Fuchs, Mathias; Jiang, Xiaoyu; Anne-Laure, Boulesteix (14. January 2016): The computationally optimal test set size in simulation studies on supervised learning. Department of Statistics: Technical Reports, No.189 [PDF, 432kB]

Fütterer, Cornelia; Nalenz, Malte; Augustin, Thomas (11. November 2021): Discriminative Power Lasso - Incorporating Discriminative Power of Genes into Regularization-Based Variable Selection. Department of Statistics: Technical Reports, No.239 [PDF, 436kB]

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Gupta, Pritha ORCID: 0000-0002-7277-4633; Ramaswamy, Arunselvan ORCID: 0000-0001-7547-8111; Drees, Jan Peter ORCID: 0000-0002-7982-9908; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108; Priesterjahn, Claudia ORCID: 0000-0001-7236-9411; Jager, Tibor ORCID: 0000-0002-3205-7699 (February 2022): Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols. 14th International Conference on Agents and Artificial Intelligence (ICAART 2022), February 3-5, Virtual.

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Haddenhorst, Björn ORCID: 0000-0002-4023-6646; Bengs, Viktor; Brandt, Jasmin; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (27. July 2021): Testification of Condorcet Winners in dueling bandits. Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, July 27-30, 2021, Virtual.

Haddenhorst, Björn ORCID: 0000-0002-4023-6646; Bengs, Viktor; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (7. December 2021): Identification of the Generalized Condorcet Winner in Multi-dueling Bandits. Advances in Neural Information Processing Systems, December 7 2021, Virtual.

Hengerer, Mark Sven; Hödl-Notter, Isabella; Schön, Gerhard (2018): Squirrel. Ein innovativer Editor zur Erstellung digitaler Editionen und sein Pilotprojekt. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 129-138 [PDF, 4MB]

Hofmann, Valentin; Pierrehumbert, Janet; Schütze, Hinrich (November 2020): DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 16. – 20. November 2020, Online. [PDF, 2MB]

Hofmann, Valentin; Pierrehumbert, Janet; Schütze, Hinrich (6. July 2020): Predicting the Growth of Morphological Families from Social and Linguistic Factors. UNSPECIFIED, July 6 – 8, 2020, Seattle, USA [PDF, 2MB]

Hofmann, Valentin; Pierrehumbert, Janet B.; Schütze, Hinrich (August 2021): Dynamic Contextualized Word Embeddings. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, August 2021, Online. [PDF, 4MB]

Hofmann, Valentin; Pierrehumbert, Janet B.; Schütze, Hinrich (August 2021): Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, August 2021, Online. [PDF, 1MB]

Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet (6. July 2020): A Graph Auto-encoder Model of Derivational Morphology. UNSPECIFIED, July 6 – 8, 2020, Seattle, USA [PDF, 1MB]

Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet B. (May 2022): An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. 60th Annual Meeting of the Association for Computational Linguistics, May 22-27, 2022, Dublin, Ireland. [PDF, 480kB]

Häuber, Chrystina (March 2015): Rome: the city of memories. Or, why and how reconstruct and visualize ancient and post-antique Rome using digital technologies? The "AIS ROMA", diachronic and phase maps of (ancient) Rome in the WWW Long version 2015, München. The International Symposium Reconstruction and the Historic City: Rome and Abroad - an interdisciplinary approach, 17. - 19. Oktober 2012, LMU München, Deutschland. [PDF, 8MB]

Höhl, Wolfgang (9. March 2017): Industrie 4.0 und Angewandte Interaktive Technologien (APITs). Identifizieren von Projektpartnern und interdisziplinären Synergien mit der APITs-Vernetzungsmatrix. Elemente, Aufbau und Struktur interaktiver industrieller Anwendungen für Augmented Reality, Mixed Reality und Virtual Reality. [PDF, 833kB]

Höhl, Wolfgang ORCID: 0000-0002-2242-4395 (4. June 2012): Netzwerktheorie und Prozessoptimierung. In: Business + Innovation, No. 2: pp. 24-32

Höhl, Wolfgang ORCID: 0000-0002-2242-4395 (16. September 2017): Open Innovation and Applied Interactive Technologies. Identifying project partners and interdisciplinary synergies with the Applied Interactive Technologies (APITs) networking matrix. ACM Symposium on Applied Perception, 16. - 17. September 2017, Brandenburg University of Technology in Cottbus, Germany. [PDF, 270kB]

Höhl, Wolfgang (1. January 2014): Sim Games, Simulation und industrielle Anwendungen. In: Kaiser, Markus (ed.) : Ringvorlesung Games. Retro Gaming, Gamification, Augmented Reality, Vol. 1. 1. München: Verlag Dr. Gabriele Hooffacker / MedienCampus Bayern e.V.. pp. 80-97 [PDF, 682kB]

Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (September 2020): Towards Analogy-Based Explanations in Machine Learning. Modeling Decisions for Artificial Intelligence, September 2–4, 2020, Sant Cugat, Spain.

Hüllermeier, Eyke ORCID: 0000-0002-9944-4108; Fürnkranz, Johannes; Loza Mencia, Eneldo (2020): Conformal Rule-Based Multi-label Classification. KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, September 21–25, 2020, Bamberg, Germany.

Hüllermeier, Eyke ORCID: 0000-0002-9944-4108; Waegeman, Willem (March 2021): Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. In: Machine Learning, No. 3: pp. 457-506

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Imani, Ayyoob; Sabet, Masoud Jalili; Senel, Lütfi Kerem; Dufter, Philipp; Yvon, François; Schütze, Hinrich (November 2021): Graph Algorithms for Multiparallel Word Alignment. 2021 Conference on Empirical Methods in Natural Language Processing, November 7-11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 618kB]

Imani, Ayyoob; Senel, Lütfi Kerem; Sabet, Masoud Jalili; Yvon, François; Schütze, Hinrich (May 2022): Graph Neural Networks for Multiparallel Word Alignment. ACL 2022, May 2022, Dublin, Ireland. [PDF, 749kB]

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Kalde, Franz (1994): EDV und Kirche. Aspekte eines vielschichtigen Verhältnisses. In: Münchener theologische Zeitschrift, Vol. 45, No. 1: pp. 69-78

Kann, Katharina; Schütze, Hinrich (October 2018): Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. 2018 Conference on Empirical Methods in Natural Language Processing, 31. October - 04. November 2018, Brussels, Belgium. [PDF, 879kB]

Kassner, Nora; Dufter, Philipp; Schütze, Hinrich (April 2021): Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. 16th Conference of the European Chapter of the Association for Computational Linguistics, April 2021, Online. [PDF, 2MB]

Kassner, Nora; Schütze, Hinrich (6. July 2020): Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly. The 58th Annual Meeting of the Association for Computational Linguistic, July 6 – 8, 2020, Seattle, USA. [PDF, 251kB]

Kassner, Nora; Tafjord, Oyvind; Schütze, Hinrich; Clark, Peter (November 2021): BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. 2021 Conference on Empirical Methods in Natural Language Processing, November 7-11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 466kB]

Kemos, Apostolos; Adel, Heike; Schütze, Hinrich (June 2019): Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. UNSPECIFIED, 2. - 7. June 2019, Minneapolis, USA. [PDF, 369kB]

Klinke, Harald ORCID: 0000-0001-8603-5105 (2018): Datenanalyse in der Digitalen Kunstgeschichte. Neue Methoden in Forschung und Lehre und der Einsatz des DHVLab in der Lehre Harald Klinke. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 19-34 [PDF, 7MB]

Klinke, Harald ORCID: 0000-0001-8603-5105 (2018): Vorwort: Die digitale Transformation in den Geisteswissenschaften. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 1-8 [PDF, 168kB]

Kohle, Hubertus ORCID: 0000-0003-3162-1304 (2018): Die Geisteswissenschaften und das Digitale. Ein Quantensprung oder business as usual? In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 9-17 [PDF, 370kB]

Kolpaczki, Patrick; Bengs, Viktor; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (September 2021): Identifying Top-k Players in Cooperative Games via Shapley Bandits. LWDA’21: Lernen, Wissen, Daten, Analysen, 1. - 3. September, 2021, Munich, Germany.

Krefeld, Thomas ORCID: 0000-0001-9657-6052 (2018): DHLehre. Integration von Forschung und universitärem Unterricht. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 35-46 [PDF, 8MB]

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Landes, Jürgen ORCID: 0000-0003-3105-6624 (2021): A Triple Uniqueness of the Maximum Entropy Approach. In: Vejnarová, Jiřina; Wilson, Nic (eds.) : Proceedings of ECSQARU. LNAI, Vol. 12897. Springer. pp. 644-656

Landes, Jürgen; Paris, Jeff B.; Vencovská, Alena (2009): Instantial Relevance in Polyadic Inductive Logic. Logic and Its Applications, January 9-11 2009, Chennai.

Landes, Jürgen ORCID: 0000-0003-3105-6624; Williamson, Jon ORCID: 0000-0003-0514-4209 (2022): Objective Bayesian nets for integrating consistent datasets. In: Journal of Artificial Intelligence Research, Vol. 74: pp. 393-458

Liang, Sheng; Dufter, Philipp; Schütze, Hinrich (December 2020): Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations. The 28th International Conference on Computational Linguistics, 8. - 13. Dezember 2020, Online. [PDF, 850kB]

Liang, Sheng; Zhao, Mengjie; Schütze, Hinrich (May 2022): Modular and Parameter-Efficient Multimodal Fusion with Prompting. ACL 2022, May 2022, Dublin, Ireland. [PDF, 858kB]

Lienen, Julian ORCID: 0000-0003-2162-8107; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (December 2021): Credal Self-Supervised Learning. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 7, 2021, Virtual.

Lienen, Julian ORCID: 0000-0003-2162-8107; Nommensen, Nils; Ewerth, Ralph; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (17. November 2021): Robust Regression for Monocular Depth Estimation. Asian Conference on Machine Learning, November 17 - 19, 2021, Virtual.

Lindörfer, Doris; Mansmann, Ulrich; Reinhardt, Isabel (16. June 2020): Incorporation of Multiple Sources into IT – and Data Protection Concepts: Lessons Learned from the FARKOR Project. In: Studies in Health Technology and Informatics, No. 270: pp. 262-266 [PDF, 656kB]

Liu, Yihong; Jabbar, Haris; Schütze, Hinrich (May 2022): Flow-Adapter Architecture for Unsupervised Machine Translation. 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland. [PDF, 618kB]

Lücke, Stephan ORCID: 0000-0002-5853-1918; Riepl, Christian; Trautmann, Caroline (2017): Softwaretools und Methoden für die korpuslinguistische Praxis. Korpus im Text, Vol. 1. München [PDF, 8MB]

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Mai, Thong Le; Chung, Minh Thanh; Le, Van Thanh; Thoai, Nam (2020): From Transcripts to Insights for Recommending the Curriculum to University Students. In: SN Computer Science, Vol. 1, No. 6, 323 [PDF, 2MB]

Maronikolakis, Antonis; Dufter, Philipp; Schütze, Hinrich (November 2021): Wine is Not v i n. On the Compatibility of Tokenizations Across Languages. EMNLP 2021, November 7–11, 2021, Punta Cana, Dominican Republic. [PDF, 3MB]

Maronikolakis, Antonis; Wisiorek, Axel; Nann, Leah; Jabbar, Haris; Udupa, Sahana ORCID: 0000-0003-3647-9570; Schütze, Hinrich (May 2022): Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments. ACL 2022, May 2022, Dublin, Ireland. [PDF, 629kB]

Marz, Luisa; Schweter, Stefan; Poerner, Nina; Roth, Benjamin; Schütze, Hinrich (2. September 2021): Data Centric Domain Adaptation for Historical Text with OCR Errors. International Conference on Document Analysis and Recognition, September 2021, Lausanne, Switzerland. [PDF, 364kB]

McClelland, James; Hill, Felix; Rudolph, Maja; Baldridge, Jason; Schütze, Hinrich (12. December 2019): Extending Machine Language Models toward Human-Level Language Understanding. [PDF, 897kB]

McClelland, James; Hill, Felix; Rudolph, Maja; Baldridge, Jason; Schütze, Hinrich (28. September 2020): Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models. In: Proceedings of the National Academy of Sciences, No. 42: pp. 25966-25974 [PDF, 818kB]

Michel, Antje; Wurdack, Ilse; Wunder, Marco; Kaminski, Christine (11. February 2015): Relaunch der Universitätsbibliotheks-Website. Leitfaden zur erfolgreichen Konzeption und Realisierung von Website-Projekten an der LMU. [PDF, 513kB]

Mohajer, Mojgan; Englmeier, Karl-Hans; Schmid, Volker J. ORCID: 0000-0003-2195-8130 (1. December 2010): A comparison of Gap statistic definitions with and without logarithm function. Department of Statistics: Technical Reports, No.96 [PDF, 766kB]

Mohr, Felix ORCID: 0000-0002-9293-2424; Bengs, Viktor; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (February 2021): Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. AAAI Conference on Artificial Intelligence, February 2–9, 2021, Virtual.

Morgan, Alexander A.; Lu, Zhiyong; Wang, Xinglong; Cohen, Aaron M.; Fluck, Juliane; Ruch, Patrick; Divoli, Anna; Fundel, Katrin; Leaman, Robert; Hakenberg, Joerg; Sun, Chengjie; Liu, Heng-hui; Torres, Rafael; Krauthammer, Michael; Lau, William W.; Liu, Hongfang; Hsu, Chun-Nan; Schuemie, Martijn; Cohen, K. Bretonnel; Hirschman, Lynette (2008): Overview of BioCreative II gene normalization. In: Genome Biology 9:S3 [PDF, 377kB]

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Nalenz, Malte; Augustin, Thomas (11. November 2021): Cultivated Random Forests: Robust Decision Tree Learning through Tree Structured Ensembles. Department of Statistics: Technical Reports, No.240 [PDF, 463kB]

Nguyen, Vu-Linh ORCID: 0000-0003-1642-4468; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (2. November 2021): Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence. In: Journal of Artificial Intelligence Research, Vol. 72: pp. 613-665

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Ortner, Sebastian ORCID: 0000-0002-1824-3540 (2018): Metadata Guidelines for the Latin Subcorpus PaLaFraLat. PaLaFra – The transition from Latin to French: constitution and analysis of a Latin-French digital corpus. Tübingen [PDF, 647kB]

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Peeters, Sven; Melnikov, Vitalik; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (26. April 2021): Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games. 19th International Symposium on Intelligent Data Analysis, April 26–28, 2021, Porto, Portugal.

Phillips, Georg (1845): Ueber die Herrlichkeit und Ehre der Wissenschaft und ihr Gedeihen in unserm Vaterlande. München: Wolf. [PDF, 6MB]

Poerner, Nina; Roth, Benjamin; Schütze, Hinrich (July 2018): Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. The 56th Annual Meeting of the Association for Computational Linguistics, 15. - 20. July 2018, Melbourne, Australia. [PDF, 669kB]

Poerner, Nina; Sabet, Masoud Jalili; Roth, Benjamin; Schütze, Hinrich (October 2018): Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective. [PDF, 409kB]

Poerner, Nina; Waltinger, Ulli; Schütze, Hinrich (6. July 2020): Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity. UNSPECIFIED, July 6 – 8, 2020, Seattle, USA [PDF, 386kB]

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Rapp, Michael; Mencía, Eneldo Loza; Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (September 2021): Gradient-Based Label Binning in Multi-label Classification. Machine Learning and Knowledge Discovery in Databases, September 13–17, 2021, Bilbao, Spain.

Reißer, Alexandra ORCID: 0000-0001-5560-1901; Schneider, Stefanie ORCID: 0000-0003-4915-6949; Schulz, Julian ORCID: 0000-0003-4374-2680 (April 2020): Schmankerl Time Machine. Die Speisekarte als Datenträger des kulturellen Gedächtnisses. In: Marquart, Vivienne; Sterzinger-Killermann, Clara (eds.) : Zwei Kugeln süß-sauer mit scharf! Münchens migrantisch geprägte Gastronomie. Münchner Beiträge zur Migrationsgeschichte, Vol. 4. München: Allitera. pp. 153-172 [PDF, 909kB]

Riepl, Christian (2018): Von der IT-Gruppe Geisteswissenschaften zu einem LMU Center for Digital Humanities? Zu Entwicklung, Mehrwert und Nachhaltigkeit des Digitalen. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 57-75 [PDF, 811kB]

Ringseis, Johann Nepomuk (1855): Ueber die Nothwendigkeit der Autorität in den höchsten Gebieten der Wissenschaft. 1. Auflage. München: Weiß. [PDF, 16MB]

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Roth, Benjamin; Conforti, Costanza; Poerner, Nina; Schütze, Hinrich; Kumar Karn, Sanjeev (7. December 2018): Neural architectures for open-type relation argument extraction. In: Natural Language Engineering, Vol. 25, No. 2: pp. 219-238 [PDF, 611kB]

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Sabet, Masoud Jalili; Dufter, Philipp; Schütze, Hinrich (27. April 2020): SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. In: Findings of ACL: EMNLP 2020 [PDF, 1MB]

Sagstetter, Thomas (2019): Digitaler Strukturwandel und Privatrecht – Neue Regeln für Big Data & Co.? In: Husemann, Tim; Korves, Robert; Rosenkranz, Frank; Schmitt, Laura; Arnold, Litó; Beke-Martos, Judit; Dördelmann, Philipp; Häsemeyer, Skrollan; Kämper, Ludger; Musinsky, Daniel; Tadus, Daria; Tophof, Alexander; Antje, Weirauch (eds.) : Strukturwandel und Privatrecht. Jahrbuch Junge Zivilrechtswissenschaft, Baden-Baden: Nomos Verlag. pp. 1-28 [PDF, 426kB]

Schick, Timo; Schmid, Helmut; Schütze, Hinrich (December 2020): Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. The 28th International Conference on Computational Linguistics, 8. - 11. Dezember 2020, Online. [PDF, 275kB]

Schick, Timo; Schütze, Hinrich (June 2019): Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2. - 7. June 2019, Minneapolis, USA. [PDF, 304kB]

Schick, Timo; Schütze, Hinrich (6. July 2020): BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance. The 58th Annual Meeting of the Association for Computational Linguistics, July 6 – 8, 2020, Seattle, USA. [PDF, 399kB]

Schick, Timo; Schütze, Hinrich (January 2019): Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. Thirty-Third AAAI Conference on Artificial Intelligence; AAAI-2019, 27. January – 01. February 2019, Honolulu, Hawaii, USA. [PDF, 165kB]

Schick, Timo; Schütze, Hinrich (April 2019): Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), February 7-12, 2020, New York, USA. [PDF, 372kB]

Schick, Timo; Schütze, Hinrich (April 2021): Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference. 16th Conference of the European Chapter of the Association for Computational Linguistics, April 19-23, 2021, Online. [PDF, 493kB]

Schick, Timo; Schütze, Hinrich (November 2021): Few-Shot Text Generation with Natural Language Instructions. 2021 Conference on Empirical Methods in Natural Language Processing, November 7–11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 504kB]

Schick, Timo; Schütze, Hinrich (November 2021): Generating Datasets with Pretrained Language Models. 2021 Conference on Empirical Methods in Natural Language Processing, November 7-11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 431kB]

Schick, Timo; Schütze, Hinrich (June 2021): It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 2021, Online. [PDF, 475kB]

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Sedinkina, Marina; Breitkopf, Nikolas; Schütze, Hinrich (28. July 2019): Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes. UNSPECIFIED, July 28 - August 2, 2019, Florence, Italy [PDF, 301kB]

Senel, Lutfi Kerem; Schütze, Hinrich (April 2021): Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models. 16th Conference of the European Chapter of the Association for Computational Linguistics, April 19-23, 2021, Online. [PDF, 239kB]

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Severini, Silvia; Hangya, Viktor; Fraser, Alexander; Schütze, Hinrich (December 2020): Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction. The 28th International Conference on Computational Linguistics, 8. - 13. Dezember 2020, Online. [PDF, 235kB]

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Shaker, Mohammad Hossein; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108 (April 2020): Aleatoric and Epistemic Uncertainty with Random Forests. International Symposium on Intelligent Data Analysis, April 27-29 2020, Bodenseeforum, Lake Constance, Germany.

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Weissweiler, Leonie; Hofmann, Valentin; Sabet, Masoud Jalili; Schütze, Hinrich (May 2022): CaMEL: Case Marker Extraction without Labels. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), May 2022, Dublin, Ireland. [PDF, 380kB]

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Yaghoobzadeh, Yadollah; Adel, Heike; Schütze, Hinrich (April 2018): Corpus-Level Fine-Grained Entity Typing. In: Journal of Artificial intelligence Research, Vol. 61: pp. 835-862 [PDF, 1MB]

Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy; Agirre, Eneko; Schütze, Hinrich (28. July 2019): Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings. UNSPECIFIED, July 28 - August 2, 2019, Florence, Italy [PDF, 690kB]

Yaghoobzadeh, Yadollah; Schütze, Hinrich (October 2018): Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing. 2018 Conference on Empirical Methods in Natural Language Processing, 31. October - 04. November 2018, Brussels, Belgium. [PDF, 292kB]

Yin, Wenpeng; Schütze, Hinrich (2018): Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms. In: Transactions of the Association for Computational Linguistics, Vol. 6: pp. 687-702 [PDF, 1MB]

Yin, Wenpeng; Yaghoobzadeh, Yadollah; Schütze, Hinrich (August 2018): Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. The 27th International Conference on Computational Linguistics; COLING2018, 20. - 26. August 2018, Santa Fe, New Mexico, USA. [PDF, 424kB]

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Zhao, Mengjie; Dufter, Philipp; Yaghoobzadeh, Yadollah; Schütze, Hinrich (2020): Quantifying the Contextualization of Word Representations with Semantic Class Probing. In: Findings of ACL: EMNLP 2020 [PDF, 495kB]

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Zhao, Mengjie; Schütze, Hinrich (November 2021): Discrete and Soft Prompting for Multilingual Models. 2021 Conference on Empirical Methods in Natural Language Processing, November 2021, Online and Punta Cana, Dominican Republic. [PDF, 383kB]

Zhao, Mengjie; Zhu, Yi; Shareghi, Ehsan; Vulic, Ivan; Reichart, Roi; Korhonen, Anna; Schütze, Hinrich (August 2021): A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, August 2021, Online. [PDF, 737kB]