Das zentrale deutsche Internetportal www.oekolandbau.de

Mit www.oekolandbau.de steht eine Informationsplattform für alle Akteure des ökologischen Landbaus zur Verfügung. Ein wichtiger Bereich ist die Wissenschaftsplattform, die Informationen rund um die Forschung im ökologischen Landbau bereitstellt. Neben Nachrichten, Terminen, Links, Adressen und einem monatlich erscheinenden Newsletter umfasst das Angebot ein internationales Archiv für wissenschaftliche Veröffentlichungen zum ökologischen Landbau, in das Wissenschaftler eigene Veröffentlichungen einspeisen können. Die Wissenschaftsplattform dient darüber hinaus der Archivierung und Bekanntmachung der Forschungsergebnisse aus dem Bundesprogramm Ökologischer Landbau

AdaFocal: Calibration-aware Adaptive Focal Loss

Much recent work has been devoted to the problem of ensuring that a neural network's confidence scores match the true probability of being correct, i.e. the calibration problem. Of note, it was found that training with focal loss leads to better calibration than cross-entropy while achieving similar level of accuracy \cite{mukhoti2020}. This success stems from focal loss regularizing the entropy of the model's prediction (controlled by the parameter $\gamma$), thereby reining in the model's overconfidence. Further improvement is expected if $\gamma$ is selected independently for each training sample (Sample-Dependent Focal Loss (FLSD-53) \cite{mukhoti2020}). However, FLSD-53 is based on heuristics and does not generalize well. In this paper, we propose a calibration-aware adaptive focal loss called AdaFocal that utilizes the calibration properties of focal (and inverse-focal) loss and adaptively modifies $\gamma_t$ for different groups of samples based on $\gamma_{t-1}$ from the previous step and the knowledge of model's under/over-confidence on the validation set. We evaluate AdaFocal on various image recognition and one NLP task, covering a wide variety of network architectures, to confirm the improvement in calibration while achieving similar levels of accuracy. Additionally, we show that models trained with AdaFocal achieve a significant boost in out-of-distribution detection.Comment: Accepted to NeurIPS 202

An overview of the planned CCAT software system

CCAT will be a 25m diameter sub-millimeter telescope capable of operating in the 0.2 to 2.1mm wavelength range. It will be located at an altitude of 5600m on Cerro Chajnantor in northern Chile near the ALMA site. The anticipated first generation instruments include large format (60,000 pixel) kinetic inductance detector (KID) cameras, a large format heterodyne array and a direct detection multi-object spectrometer. The paper describes the architecture of the CCAT software and the development strategy.Comment: 17 pages, 6 figures, to appear in Software and Cyberinfrastructure for Astronomy III, Chiozzi & Radziwill (eds), Proc. SPIE 9152, paper ID 9152-10