Few-shot learning aims to learn a classifier using few labelled instances for each class. Metric-learning approaches few-shot embed into high-dimensional space and conduct classification based on distances among instance embeddings. However, such embeddings are usually shared across all episodes thus lack the discriminative power generalize classifiers according episode-specific features. In th...

bipolar spectrum disorders may often go undiagnosed or unrecognized. the aim of this study was to determine the proportion of bipolar disorder symptoms in iranian patients with a major depressive episode.313 patients with a current dsm-iv-tr (diagnostic and statistical manual of mental disorders 4th ed. text rev.) diagnosed with a major depressive episode entered this cross-sectional study. thi...