针对以上两点,该文的motivation就是能否设计一个自适应的且不需要超参数的reweighting方法,即找到一种从loss到weight的映射关系。 三 文章方法 Meta-Weighting-Net (MW-Net) 3.1 key idea 为了提出这样一个自适应的且不需要超参数的reweighting方法,文章的主要想法是用MLP来充当weight fucntion的作用,即让MLP自动学习...
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Official Pytorch implementation for noisy labels). The implementation of class imbalance is available athttps://github.com/xjtushujun/Meta-weight-net_class-imbalance. ...
Meta-Weight-Net NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Official Pytorch implementation for noisy labels). The implementation of class imbalance is available at https://github.com/xjtushujun/Meta-weight-net_class-imbalance. === This is the code for...
内容提示: Meta-Weight-Net: Learning an Explicit MappingFor Sample WeightingJun ShuXi’an Jiaotong Universityxjtushujun@gmail.comQi XieXi’an Jiaotong Universityxq.liwu@stu.xjtu.edu.cnLixuan YiXi’an Jiaotong Universityyilixuan@stu.xjtu.edu.cnQian ZhaoXi’an Jiaotong Universitytimmy.zhaoqian@mail....
Sample re-weighting strategy is commonly used to alleviate this issue by designing a weighting function mapping from training loss to sample weight, and then iterating between weight recalculating and classifier updating. Current approaches, however, need manually pre-specify the weighting function as ...
Lightweight modelApplied Intelligence - Single image super-resolution (SISR) has achieved great success in recent years due to the representation ability of large and deep models. However, these models usually have...doi:10.1007/s10489-022-04185-wLi, Meng...
aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink. - GitHub - netww/aria2: aria2 is a lightweight multi-protocol & multi-source, cros
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weightingarxiv.org/pdf/1902.07379.pdf 注:这篇论文证明那块有点硬核,菜鸡如我,看不懂。。。故只对模型本身进行介绍。 这篇论文的关注点主要是一个传统ML试图解决的东西。对于一个分类训练任务,数据集为 {xi,yi} ,用DNNs进行训练。如果训练集是...
Lightweight networkMicro-DopplerHand gestureSign languageClassification and recognitionMDHandNetWorld Wide Web - Edge computing is agreed to provide services on the network edge closer to the terminal, including all technologies on the Internet of Things (IoT). Today, various terminals......
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Official Pytorch implementation for noisy labels). The implementation of class imbalance is available at https://github.com/xjtushujun/Meta-weight-net_class-imbalance. === This is the code for the paper: ...