目录 概 主要内容 符号说明 Error Classification-calibrated surrogate loss 引理2.1 定理3.1 定理3.2 由此导出的TRADES算法 实验概述 代码 Zhang H, Yu Y, Jiao J, et al. Theoretically Principled Trade-off between Robustness and Accuracy[J]. arXiv: Learning, 2019. @article{zhang2019theore…

2015年~2017年SIGIR,SIGKDD,ICML三大会议的Recsys论文: [转载请注明出处:https://www.cnblogs.com/shenxiaolin/p/8321722.html] SIGIR-2015 [Title]WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation [Abstract]Matrix approximation…

启发式算法(heuristic algorithm)是相对于最优化算法提出的.一个问题的最优算法求得该问题每个实例的最优解.启发式算法可以这样定义:一个基于直观或经验构造的算法,在可接受的花费(指计算时间和空间)下给出待解决组合优化问题每一个实例的一个可行解,该可行解与最优解的偏离程度一般不能被预计.现阶段,启发式算法以仿自然体算法为主,主要有蚁群算法.模拟退火法.神经网络等 Abstract-we advocate a probabilistically-motivated(概率激发的) sc…

前言 一.专注话题 重点话题 Retrain mobileNet (transfer learning). Train your own Object Detector. 这部分讲理论,下一篇讲实践. 其他资料 Convolutional neural networks on the iPhone with VGGNet 如何使用TensorFlow API构建视频物体识别系统 看上去有实践借鉴价值: http://blog.csdn.net/muwu5635/article/details/7…

Introduction to Learning to Trade with Reinforcement Learning http://www.wildml.com/2018/02/introduction-to-learning-to-trade-with-reinforcement-learning/ Thanks a lot to @aerinykim, @suzatweet and @hardmaru for the useful feedback! The academic Deep…

http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/ The academic Deep Learning research community has largely stayed away from the financial markets. Maybe that’s because the finance industry has a bad reputation,…

Instrument manufacturers usually supply specifications for their equipment that define its accuracy, precision, resolution and sensitivity. Unfortunately, not all of these specifications are uniform from one to another or expressed in the same terms.…

目录 概 主要内容 定理1 代码 Cohen J., Rosenfeld E., Kolter J. Certified Adversarial Robustness via Randomized Smoothing. International Conference on Machine Learning (ICML), 2019. @article{cohen2019certified, title={Certified Adversarial Robustness via Randomiz…

使用python接口来运行caffe程序,主要的原因是python非常容易可视化.所以不推荐大家在命令行下面运行python程序.如果非要在命令行下面运行,还不如直接用 c++算了. 推荐使用jupyter notebook,spyder等工具来运行python代码,这样才和它的可视化完美结合起来. 因为我是用anaconda来安装一系列python第三方库的,所以我使用的是spyder,与matlab界面类似的一款编辑器,在运行过程中,可以查看各变量的值,便于理解,如下图: 只要安装了anac…

FatMouse' Trade Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 56784    Accepted Submission(s): 19009 Problem Description FatMouse prepared M pounds of cat food, ready to trade with the cats g…