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Found 4 papers, 1 papers with code
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search
In this paper, we propose EPE-NAS, an efficient performance estimation strategy, that mitigates the problem of evaluating networks, by scoring untrained networks and creating a correlation with their trained performance.
Ranked #26 on
Neural Architecture Search
on NAS-Bench-201, CIFAR-100
Improving Makespan in Dynamic Task Scheduling for Cloud Robotic Systems with Time Window Constraints
Load balancing allocation and scheduling ensures that the time between when the first node completes its scheduled tasks and when all other nodes complete their scheduled tasks is as short as possible.
Robotics
Species Area Relationship (SAR): Pattern Description with Geometrical Approach
For a rectangular sample area the species-area relationship follows the pattern, with some simplification, $S=c|A^{\beta}+a|^z$, where $S$ is the number of species in the area of size $A$ and $a, c, z$, and $\beta$ are constants with $z<1$ and $\beta\leq1$.
Improvement on Extrapolation of Species Abundance Distribution Across Scales from Moments Across Scales
The almost linear pattern of the log transformation of raw moments across scales allow us to extrapolate species abundance distribution for larger areas.
