Sometimes problems can be solved in $O(n^c)$ time for any $c > 1$, but not for $c=1$. Typically this is written as $O(n^{1 + \epsilon})$, since $\epsilon$ is understood to be some small positive constant. I want to know the terminology for describing this complexity class.
For example, I would call a $\Theta(n)$ algorithm "linear". I would call a $\Theta(n^2)$ algorithms "quadratic". I would call a $\Theta(n \cdot log^c(n))$ algorithm "nearly linear". (Note that nearly linear is better than $O(n^{1+\epsilon})$.)
What do I call algorithms that are in $O(n^{1+\epsilon})$?