18 citations · 19 across the 5 of their papers we have counts for
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stat.ML2019
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error
Michel Moukari, Loïc Simon, Sylvaine Picard +1
As deep learning applications are becoming more and more pervasive in robotics, the question of evaluating the reliability of inferences becomes a central question in the robotics…
cs.CV2019
Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard +1
Training deep neural networks from few examples is a highly challenging and key problem for many computer vision tasks. In this context, we are targeting knowledge transfer from a…