7 papers
MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training
Lucia Gordon, Serge Belongie, Christian Igel +1
Recent research in geospatial machine learning demonstrates that models pretrained with self-supervised learning on Earth observation data can perform well on downstream tasks with…
Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race
Pedram Bakhtiarifard, Pınar Tözün, Christian Igel +1
Sustainability encompasses three key facets: economic, environmental, and social. However, the nascent discourse on sustainable artificial intelligence (AI) predominantly focuses o…
SuperF: Neural Implicit Fields for Multi-Image Super-Resolution
Sander Riisøen Jyhne, Christian Igel, Morten Goodwin +3
High-resolution imagery is often hindered by limitations in sensor technology, atmospheric conditions, and costs. Such challenges occur in satellite remote sensing, but also with h…
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen, Christian Gundersen, Nico Lang +2
Open-set recognition (OSR), the identification of novel categories, can be a critical component when deploying classification models in real-world applications. Recent work has sho…
BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright, Christian Igel, Raghavendra Selvan
Modern neural networks are often massively overparameterized leading to high compute costs during training and at inference. One effective method to improve both the compute and en…
When Can Memorization Improve Fairness?
Bob Pepin, Christian Igel, Raghavendra Selvan
We study to which extent additive fairness metrics (statistical parity, equal opportunity and equalized odds) can be influenced in a multi-class classification problem by memorizin…