Aug 22, 2023 · Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models. We explore element-wise convex combinations of two permutation ...

We explore element-wise convex combinations of two permutation-aligned neural network parameter vectors and of size.

Jul 2, 2024 · We explore element-wise convex combinations of two permutation-aligned neural network parameter vectors Θ A and Θ B of size d.

Aug 23, 2023 · We experimentally demonstrate that linear mode connectivity is a special case of a more general phenomenon we call mode combinability. More.

Sep 7, 2024 · Recently, Csiszárik et al. (2023) introduced the concept of mode combinability. They propose that a high-performing network, linearly ...

Nov 22, 2023 · Márton Muntág (Rényi): Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models (in hungarian). Deep Learning Seminar.

Duration: 30:01
Posted: Nov 22, 2023

We explore element-wise convex combinations of two permutation-aligned neural network parameter vectors and of size .

Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models ... We explore element-wise convex combinations of two permutation-aligned neural ...

Nov 22, 2023 · Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models ... Az előadás magyar nyelvű, a részletekért kattintson ide.