Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin

no code implementations • 18 Sep 2023 • Gabriel Moreira, Manuel Marques, João Paulo Costeira, Alexander Hauptmann

Recent research in representation learning has shown that hierarchical data lends itself to low-dimensional and highly informative representations in hyperbolic space.

Few-Shot Learning Representation Learning

EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

1 code implementation • 14 Apr 2023 • Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue

EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a multitude of deployment scenarios.

Fairness Informativeness +1

Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs

1 code implementation • ICCV 2021 • Gabriel Moreira, Manuel Marques, João Paulo Costeira

A cornerstone of geometric reconstruction, rotation averaging seeks the set of absolute rotations that optimally explains a set of measured relative orientations between them.