Paper [1]: White-box neural network attack, adversaries have full access to the model. Using Gradient Descent going back to update the input so that reconstructing the original training data. About black-box attack, they mentioned using numeric gradi…

Summary on Visual Tracking: Paper List, Benchmarks and Top Groups 2018-07-26 10:32:15 This blog is copied from: https://github.com/foolwood/benchmark_results  Thanks for the careful list of visual tracking provided by foolwood  Visual Trackers CVPR20…

From: http://liudongdong1.github.io keyword: Human-centered computing , LoRa Paper: WIDESEE WIDESEE: Towards Wide-Area Contactless Wireless Sensing Summary WIDESEE presents solutions across software and hardware to overcome two aspects of challenges…

Attention and Augmented Recurrent Neural Networks CHRIS OLAHGoogle Brain SHAN CARTERGoogle Brain Sept. 8 2016 Citation: Olah & Carter, 2016 Recurrent neural networks are one of the staples of deep learning, allowing neural networks to work with seque…

What is RCU, Fundamentally? https://lwn.net/Articles/262464/ If you can fill the unforgiving secondwith sixty minutes worth of distance run,“Highly scalable” your code will be reckoned,And—which is more—you'll have parallel fun! With apologies to Rud…

ABSTRACT 这篇paper中作者结合GBDT和LR,取得了很好的效果,比单个模型的效果高出3%.随后作者研究了对整体预测系统产生影响的几个因素,发现Feature+Model的贡献程度最大,而其他因素的影响则较小. 1. INTRODUCTION 介绍了先前的一些相关paper.包括Google,Yahoo,MS的关于CTR Model方面的paper. 而在Facebook,广告系统是由级联型的分类器(a cascade of classifiers)组成,而本篇paper讨论的CTR…

同步自我的知乎专栏:https://zhuanlan.zhihu.com/p/26122612 上篇文章 瞎谈CNN:通过优化求解输入图像 - 知乎专栏 中提到过对抗样本,这篇算是针对对抗样本的一个小小扩充:用Fast Gradient Sign方法在Caffe中生成对抗样本. 本文代码的完整例子可以在下面地址下载: frombeijingwithlove/dlcv_for_beginners Fast Gradient Sign方法 先回顾一下 瞎谈CNN:通过优化求解输入图像 - 知乎专栏 …

Introduction 介绍Chapter 1 outlines how you can address some of the most common requirements in enterprise applications by adopting a loosely coupled design to minimize the dependencies between the different parts of your application. However, if a cla…

前言 在前面的教程中我们已经基本实现了路径导航和障碍物规避. 但是这样我们并没有让我们的角色学会思考,他只是机械的去完成一些步骤,这并不能体现Rain插件的智能. 一个角色他应该有多个不同的状态,待机,巡逻,发现,追逐,攻击等等.并且能够思考,自己反应自己的行为. 状态之间的转换需要信号,就像我们现实世界中,信号来源是视觉和听觉. 那我们可不可以为AI角色也添加视觉和听觉呢? 答案:当然是可以的,为了让我们的角色更加智能,就让我们来实现这个功能吧. 场景准备 我布置的场景如下 绿色胶囊体:玩家…

http://www-personal.umich.edu/~jizhu/jizhu/wuke/Friedman-AoS01.pdf https://www.cnblogs.com/bentuwuying/p/6667267.html https://www.cnblogs.com/ModifyRong/p/7744987.html https://www.cnblogs.com/bentuwuying/p/6264004.html 1.简介 gbdt全称梯度下降树,在传统机器学习算法里面是对真…