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Publication search results
found 116 matches
- 2024
- Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash:
The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization. Neurocomputing 597: 127964 (2024) - Lionel Kielhöfer, Felix Mohr, Jan N. van Rijn:
Learning Curve Extrapolation Methods Across Extrapolation Settings. IDA (2) 2024: 145-157 - Romain Egele, Felix Mohr, Tom J. Viering, Prasanna Balaprakash:
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. CoRR abs/2404.04111 (2024) - 2023
- Jörg Dörr, Marc-Alexandre Favier, Felix Möhrle:
Interoperabilität im Digital Farming - Status quo und zukünftige Herausforderungen. Inform. Spektrum 46(1): 36-45 (2023) - Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier:
Towards Green Automated Machine Learning: Status Quo and Future Directions. J. Artif. Intell. Res. 77: 427-457 (2023) - Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. J. Open Source Softw. 8(86): 5149 (2023) - Felix Mohr, Marcel Wever:
Naive automated machine learning. Mach. Learn. 112(4): 1131-1170 (2023) - Felix Mohr, Jan N. van Rijn:
Fast and Informative Model Selection Using Learning Curve Cross-Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9669-9680 (2023) - Jörg Dörr, Marc-Alexandre Favier, Felix Möhrle:
Interoperabilität im Digital Farming - Status quo und zukünftige Herausforderungen. Wirtschaftsinformatik Manag. 15(6): 370-387 (2023) - Sebastian Bosse, Karsten Berns, Johannes Bosch, Jörg Dörr, Frederick Charles Eichhorn, Peter Eisert, Christoph Fischer, Eike Gassen, Michael Gerstenberger, Heike Gerighausen, Jonathan Heil, Anna Hilsmann, Jochen Hirth, Christopher Huber, Mortesa Hussaini, Martin Kasparick, Peter Kloke, Hartmut Krause-Edler, Lukas Mackle, Jannes Magnusson, Felix Möhrle, Markus Möller, Peter Pickel, Clemens Rautenberg, Hans Dieter Schotten, Slawomir Stanczak, Lars Thiele, Henrik Ücdemir, Annett Wania, Anthony Stein:
Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Industrie. GIL Jahrestagung 2023: 41-52 - Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia:
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. IJCNN 2023: 1-9 - Michael Theurer, Christoph Kottke, Ronald Freund, Felix Ganzer, Patrick Runge, Martin Moehrle, Ute Troppenz, Ariane Sigmund, Martin Schell:
4 x 200 Gb/s EML-Array with a Single MQW Layer Stack. OFC 2023: 1-4 - Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. CoRR abs/2301.06348 (2023) - Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu:
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. CoRR abs/2302.08909 (2023) - Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia:
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. CoRR abs/2310.01157 (2023) - 2022
- Felix Molter, Armin W. Thomas, Scott A. Huettel, Hauke R. Heekeren, Peter N. C. Mohr:
Gaze-dependent evidence accumulation predicts multi-alternative risky choice behaviour. PLoS Comput. Biol. 18(7) (2022) - Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr:
Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. Meta-Knowledge Transfer @ ECML/PKDD 2022: 1-7 - Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu:
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. NeurIPS 2022 - Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn:
LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks. ECML/PKDD (5) 2022: 3-19 - Marcus Ritter, Ahmad Tarraf, Alexander Geiß, Nour Daoud, Bernd Mohr, Felix Wolf:
Conquering Noise With Hardware Counters on HPC Systems. ProTools@SC 2022: 1-10 - Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr:
ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France. Proceedings of Machine Learning Research 191, PMLR 2022 [contents] - Felix Mohr, Jan N. van Rijn:
Learning Curves for Decision Making in Supervised Machine Learning - A Survey. CoRR abs/2201.12150 (2022) - Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR abs/2206.08138 (2022) - Marius de Arruda Botelho Herr, Michael Graf, Peter Placzek, Florian König, Felix Bötte, Tyra Stickel, David Hieber, Lukas Zimmermann, Michael Slupina, Christopher Mohr, Stephanie Biergans, Mete Akgün, Nico Pfeifer, Oliver Kohlbacher:
Bringing the Algorithms to the Data - Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC). CoRR abs/2212.03481 (2022) - 2021
- Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier:
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3055-3066 (2021) - Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier:
AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3037-3054 (2021) - Felix Mohr, Viktor Bengs, Eyke Hüllermeier:
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. AAAI 2021: 12373-12381 - Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) 2021: 80-96 - Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin:
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 50-72
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