1 code implementation • 23 Oct 2023 • Pola Schwöbel, Jacek Golebiowski, Michele Donini, Cédric Archambeau, Danish Pruthi
Large language models (LLMs) encode vast amounts of world knowledge.
no code implementations • 8 Mar 2022 • Pola Schwöbel, Peter Remmers
A dynamic fairness model incorporates (1) ethical goals, (2) formal metrics to quantify decision procedures and outcomes and (3) mid-term or long-term downstream effects.
1 code implementation • 14 Jun 2021 • Pola Schwöbel, Martin Jørgensen, Sebastian W. Ober, Mark van der Wilk
Computing the marginal likelihood is hard for neural networks, but success with tractable approaches that compute the marginal likelihood for the last layer only raises the question of whether this convenient approach might be employed for learning invariances.
1 code implementation • 7 Apr 2020 • Pola Schwöbel, Frederik Warburg, Martin Jørgensen, Kristoffer H. Madsen, Søren Hauberg
Spatial Transformer Networks (STNs) estimate image transformations that can improve downstream tasks by `zooming in' on relevant regions in an image.