no code implementations • 30 Sep 2024 • Tianchang Shen, Zhaoshuo Li, Marc Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp
In particular, our vertex embeddings generate cyclic neighbor relationships in a halfedge mesh representation, which gives a guarantee of edge-manifoldness and the ability to represent general polygonal meshes.
no code implementations • NeurIPS 2021 • Marc Law
The lack of geodesic between every pair of ultrahyperbolic points makes the task of learning parametric models (e. g., neural networks) difficult.
no code implementations • ICLR 2020 • Tianshi Cao, Marc Law, Sanja Fidler
We introduce a theoretical analysis of the impact of the shot number on Prototypical Networks, a state-of-the-art few-shot classification method.
no code implementations • 6 Feb 2019 • Jixuan Wang, Kuan-Chieh Wang, Marc Law, Frank Rudzicz, Michael Brudno
Speaker embedding models that utilize neural networks to map utterances to a space where distances reflect similarity between speakers have driven recent progress in the speaker recognition task.