South America
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac *, Jeff Donahue * Pauline Luc * Antoine Miech
They are mainly found in Chile.
Appendix: Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data Table of Contents
In addition, it has the same task to predict mortality. A summary of the covariate features can be found in Table 5.
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
High model performance, on average, can hide that models may systematically underperform on subgroups of the data.
On the universality of deep learning Emmanuel Abbe Mathematics Institute EPFL Lausanne, 1005 Switzerland Colin Sandon Department of Mathematics MIT Cambridge, MA02139
This paper shows that deep learning, i.e., neural networks trained by SGD, can learn
Best-case lower bounds in online learning
Much of the work in online learning focuses on the study of sublinear upper bounds on the regret.
