12 citations · 50 across the 49 of their papers we have counts for
3 papers · 1 filter
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation
Geraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
Understanding the inner working functionality of large-scale deep neural networks is challenging yet crucial in several high-stakes applications. Mechanistic inter- pretability is…
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation
Pedro Vianna, Muawiz Chaudhary, Paria Mehrbod +5
Deep neural networks have useful applications in many different tasks, however their performance can be severely affected by changes in the data distribution. For example, in the b…
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction
Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot +3
The impressive performance of deep convolutional neural networks in single-view 3D reconstruction suggests that these models perform non-trivial reasoning about the 3D structure of…