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Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks


Aug 08, 2022
Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter


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Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning


Jul 12, 2022
Christian Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter

* CoLLAs 2022 

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Few-Shot Learning by Dimensionality Reduction in Gradient Space


Jun 07, 2022
Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner

* Accepted at Conference on Lifelong Learning Agents (CoLLAs) 2022. Code: https://github.com/ml-jku/subgd Blog post: https://ml-jku.github.io/subgd 

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Entangled Residual Mappings


Jun 02, 2022
Mathias Lechner, Ramin Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter

* 21 Pages 

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Hopular: Modern Hopfield Networks for Tabular Data


Jun 01, 2022
Bernhard Schäfl, Lukas Gruber, Angela Bitto-Nemling, Sepp Hochreiter

* 9 pages (+ appendix); 5 figures; source code available at: https://github.com/ml-jku/hopular ; blog post available at: https://ml-jku.github.io/hopular/ 

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History Compression via Language Models in Reinforcement Learning


May 24, 2022
Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter


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Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes


Apr 01, 2022
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David Kreil, Sepp Hochreiter

* Pre-print under review, submitted to Proceedings of Machine Learning Research 

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Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning


Nov 08, 2021
Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter

* Code: https://github.com/ml-jku/OfflineRL 

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CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP


Oct 21, 2021
Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter

* 14 pages (+ appendix); Blog: https://ml-jku.github.io/cloob GitHub: https://github.com/ml-jku/cloob 

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Boundary Graph Neural Networks for 3D Simulations


Jun 21, 2021
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter


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