论文:Mean teachers are better role models: Weight-averaged consistency targets improvesemi-supervised deep learning results 代码:https://github.com/CuriousAI/mean-teacher 一、背景 本文的目标是在学生模型和教师模型完全相同的情况下,从学生模型中逐步形成一个表现更好的教师模型。 首先,由于模型的 softmax ...
论文完整标题:Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results 阅读完上一篇半监督结合自监督方法做动作提议生成的论文后对于半监督分支的Mean Teacher框架的原理和具体是怎么做的不是很了解,因此继续阅读延伸出的本篇论文。 Intro/Motive 直觉:...
Laine, S., Aila, T. (2016). Temporal Ensembling for Semi-Supervised Learning arXivhttps://arxiv.org/abs/1610.02242 Tarvainen, A., Valpola, H. (2017). Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results arXivhttps://arxiv....
论文来源:Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results. 0. Abstract 翻译:最近提出的时序集成(Temporal Ensembling)已经在几个半监督学习的基准中取得了SOTA。它在每个训练示例上保持标签预测的指数移动平均(Exponential Moving Average, EMA)...
Tarvainen, A., Valpola, H. (2017). Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results arXivhttps://arxiv.org/abs/1703.01780 https://tech.meituan.com/tags/半监督学习.html...
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results 0. 前言 相关资料: arxiv github 论文解读(知乎,CSDN) 论文基本信息: 领域:半监督学习 发表时间:NIPS 2017(2017.3.6) 摘要 最近提出的时序集成在几个半监督学习基准中取得了最新...
文章目录一、背景二、方法三、效果 论文:Meanteachers are better role models: Weight-averaged consistency targets improvesemi-supervised deep learning results代码:https://github.com/CuriousAI/mean-teacher一、背景本文的目标是在学生模型和教 mean teacher架构 ...
论文标题: Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen(芬兰,阿尔托大学), Harri Valpola (The Curious AI Company) 作者有一句话**... 查看原文 半监督学习:Π-Model、Temporal Ensembling、Mean Teacher , A., Val...
Mean teachers are better role models Paper---NIPS 2017 poster---NIPS 2017 spotlight slides---Blog post By Antti Tarvainen, Harri Valpola (The Curious AI Company) Approach Mean Teacher is a simple method for semi-supervised learning. It consists of the following steps: Take...
弱监督学习--半监督学习(3):Mean teachers are better role models Teacher模型是由芬兰的一家AI初创公司在2018年提出,该模型是在TemporalensemblingModel的基础上发展而来,其核心出发点仍然是一致性正则。希望使用利用未标记数据的正则化方法,有效减少在半监督学习中的过度适应。MeanTeacher模型主要想解决Temporalensembling...