题目:Free Lunch for Few-shot Learning: Distribution Calibration 论文已被ICLR 2021和T-PAMI 2021接收 ICLR 2021 论文链接:openreview.net/forum? T-PAMI 2021 论文链接: ieeexplore.ieee.org/doc 代码:github.com/ShuoYang-199 简介:从极少量样本中学习到泛化性能良好的模型是很困难的,因为极少的样本形成的数据...
【ICLR 2021】小样本学习论文讲解:Free Lunch for Few-shot Learning: Distribution Calibration, 视频播放量 2140、弹幕量 0、点赞数 50、投硬币枚数 38、收藏人数 217、转发人数 19, 视频作者 Rocky学长, 作者简介 搞科研的算法研究猿一枚,相关视频:太厉害了!终于有人
手把手代码复现【ICLR 2021】小样本学习代表性论文《Free Lunch for Few-shot Learning: Distribution Calibration》感谢关注潜力up主,有任何相关的科研问题欢迎留言or私信一起交流进步~, 视频播放量 13907、弹幕量 3、点赞数 390、投硬币枚数 461、收藏人数 470、转发人数
2022/1/29 ICLR2021 FREE LUNCH FOR FEW-SHOT LEARNING: DISTRIBUTION CALIBRATION 参考 zhuanlan.zhihu.com/p/34 wenku.baidu.com/view/2d 知识补充 AdaBoost 摘要 小样本学习中,容易出现过拟合的情况。本文通过对足够训练样本的分类进行迁移学习,校准小样本分类的分布。 本文的假设是所有的特征表示都遵循高斯分布...
《Free Lunch for Few Shot Learning: Distribution Calibration》(ICLR 2021) GitHub:O网页链接《Autonomous Quadrotor Flight despite Rotor Failure with Onboard Vision Sensors: Frames vs. Events》(2021) GitHub:O网页链接《Self-Supervised Few-Shot Learning on Point Clouds》(NeurIPS 2020) GitHub:O网页链接...
Learning from a limited number of samples is challenging since the learned model can easily become overfitted based on the biased distribution formed by only a few training examples. In this paper, we calibrate the distribution of these few-sample classes by transferring statistics from the classes...
Hihippie/Learning2Capture 1 breakaway7/p3dc-shot 1 See all 6implementations Few-Shot Learning Datasets mini-ImagenettieredImageNet Results from the Paper Edit Submitresults from this paperto get state-of-the-art GitHub badges and help the community compare results to other papers....
Free LunchThis is a list of free Windows software for normal users. It will be updated from time to time.Please note the following points:This list contains the great built-in apps in Windows. Strikethrough text is used to show that something is not recommended. These apps aren't private ...
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