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This page:UHH > MIN > Department of Informatics > Institutes > Research groups > Knowledge Technology > About us > News > Knowledge Technology's Paper Ranking as the Most Downloaded Article from Neural Networks
1 August 2020
German I. Parisi’s, Ronald Kemker's, Jose L. Part's, Christopher Kanan's and Stefan Wermter's paper Continual lifelong learning with neural networks: A review from 2019 is now ranking as the most downloaded article from Neural Networks.
Photo: UHH/Knowledge Technology
The student team of the MSc program Intelligent Adaptive Systems (IAS) got their paper titled "An Immersive Investment Game to Study Human-Robot Trust" published in Frontiers in Robotics and AI. Congratulations to all students and staff involved!
Emy Arts, one of the main contributors of this...
Tobias Hinz successfully defended his PhD thesis titled “Disentanglement, Compositionality, Specification: Representation Learning with Generative Adversarial Networks" on 28 April 2021. The thesis introduces novel approaches for learning good image representations with GANs and evaluates these...