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Institute for Machine Learning
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Publications 2022


Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modelling Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks


Few-Shot Learning by Dimensionality Reduction in Gradient Space
Author(s): 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

Conference on Lifelong Learning Agents (CoLLAs) 2022 arXiv:2206.03483, opens an external URL in a new window


Deficiencies in Hydrological Modelling Practices Rate my Hydrograph: Evaluating the Conformity of Expert Judgment and Quantitative Metrics Contrastive learning of image- and structure-based representations in drug discovery
Author(s): Ana Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, Günter Klambauer
Published: ICLR 2022 Machine Learning for Drug Discovery Workshop Proceedings, 2022-04-29.

Publications (non-peer-reviewed)

Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning Hopular: Modern Hopfield Networks for Tabular Data History Compression via Language Models in Reinforcement Learning