• We propose a feed-forward model rewiring its architecture according to few-shot task. meta-learned NAS-cell controllers for predictive rewiring. show performance preserving way of pruning feed-forward-adaptive NAS-cells. Using the proposed approach, we obtain strong results on two popular FSC benchmarks. Recently, great progress has been made in field Few-Shot Learning (FSL). While many diffe...

This study predicts how the Free Surface Level (FSL) variations around finite length vegetation affect flow structure by using a numerical simulation. The volume of fluid (VOF) technique with Reynolds stress model (RSM) was used for Multizone Hexahedral meshing adopted to accurately track free surface level minimum diffusion at water–air interface. After validation, emergent patches were select...

PURPOSE The availability of knockout mouse species provide a highly versatile platform for critically examining the corneal wound healing response. We aimed to develop and characterize the wound healing response in a mouse model of intrastromal femtosecond laser (FSL) keratotomy. METHODS An intrastromal lamellar dissection using a Visumax FSL was performed on 16 wild type mice (C57BL6) . The ...

Few-Shot Learning (FSL) is essential for visual recognition. Many methods tackle this challenging problem via learning an embedding function from seen classes and transfer it to unseen with a few labeled instances. Researchers recently found beneficial incorporate task-specific feature adaptation into FSL models, which produces the most representative features each task. However, these ignore d...

Few-Shot Learning (FSL) algorithms are commonly trained through Meta-Learning (ML), which exposes models to batches of tasks sampled from a meta-dataset mimic seen during evaluation. However, the standard training procedures overlook real-world dynamics where classes occur at different frequencies. While it is generally understood that class imbalance harms performance supervised methods, limit...

Introduction Regions of interest (ROIs) are frequently used in fMRI studies in order to limit an analysis to an anatomically or functionally defined area, or to investigate interactions between groups of voxels. Whether functional ROIs are defined on the basis of independent data, or non-independently based on contrasting a subset of conditions within the experiment, investigators face a number...

PURPOSE To evaluate the visual performance of different types of intraocular lens (IOL) in eyes submitted to femtosecond laser (FSL) cataract surgery and to analyze whether this technology could result in spectacles independence. DESIGN Retrospective comparative case series. METHODS Consecutive eyes that were scheduled for FSL cataract surgery were included in this study. After one month po...

Model checking technologies have been applied to hardware verification in the last 15 years. Pioneering work has been conducted in Intel since 1990 using model checking technologies to build industrial hardware verification systems. This paper reviews the evolution and the success of these systems in Intel and in particular it summarizes the many challenges and learning that have resulted from ...