1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.IV2021★ 1 cited
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
Joseph Boyd, Mykola Liashuha, Eric Deutsch +3
The examination of histopathology images is considered to be the gold standard for the diagnosis and stratification of cancer patients. A key challenge in the analysis of such imag…
stat.ML2019
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert
Dropout is a regularisation technique in neural network training where unit activations are randomly set to zero with a given probability \emph{independently}. In this work, we pro…