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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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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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MC-LSTM: Mass-Conserving LSTM


Feb 08, 2021
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer

* 12 pages (8 without references) + 16 pages appendix 

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Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER


Dec 02, 2020
Markus Holzleitner, Lukas Gruber, José Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter

* 20 pages 

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Modern Hopfield Networks and Attention for Immune Repertoire Classification


Jul 16, 2020
Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlović, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer

* 10 pages (+appendix); Source code and datasets: https://github.com/ml-jku/DeepRC 

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Hopfield Networks is All You Need


Jul 16, 2020
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlović, Geir Kjetil Sandve, Victor Greiff, David Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

* 10 pages (+ appendix); 9 figures; Companion paper with "Modern Hopfield Networks and Attention for Immune Repertoire Classification"; GitHub: https://github.com/ml-jku/hopfield-layers 

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