FSL问题介绍 FSL两大模型（一） FSL两大模型（二） FSL 扩展主题Semi-supervised Few Sample LearningUnsupervised Few Sample LearningCross-domain Few Sample LearningGeneralized Few Sample LearningMultimodal Few Sample Learning 应用Computer VisionNatural Language Pro
Walking away when the time is right. Most of the people are struggling with their dead end job, failed relationship, preparing for a competitive exam, working on an already implemented idea etc. Even when they are 100% aware that they are stuck and are go
元学习：从Few-Shot学习到快速强化学习(ICML 2019 Tutorial) by Chelsea Finn, Sergey Levine https://www.bilibili.com/video/BV1o4411A7YE
一篇总结整理近来few-shot分类的文章（近来文章一些毛病：code实现细节很难说清真正的gain在哪，一些baseline被压得太低，base类和novel类之间的域差异不明显导致评估也不可能不太准）。作者复现了一下主要的几篇工作，然后总结如下：更深的backbone在不同域上的表现对于不同方法差不多；整理了一
NO.1 Learning to Compare: Relation Network for Few-Shot Learning paper: https://arxiv.org/abs/1711.06025 code:
The First Column The Second Column 标准小样本 广义小样本 episodic trianing 分段训练 training episode 训练阶段 注册误差 分类误差 总体误差 注册误差和总体误差
Few things are impossible in themselves; and It's often for want of will, rather than of means, that man fails to succeed. 译：事情很少有根本做不成的；其所以做不成，与其说是条件不够，不如说是决心不够。 （it 代指 that 从句，人们失败）。
原文链接：http://www.cnblogs.com/ZacharyHodgeZou/p/4604434.html 1.Service Intent must be explicit Intent serviceIntent = new Intent(context,MyService.class);context.startService(serviceIntent);Note:Implicit intents with startService are
