achievements
《AT_abc326_g Unlock Achievement》解题报告
考场上压根没想到网络流，感觉这题是做过的网络流里算质量比较高的了。 首先我们肯定是想直接贪心，但是发现怎么贪心都没办法，而且数据范围非常小，一般数据范围非常小，且贪心不了但又只能贪心的题就用网络流实现。 考虑如何建模，首先我们发现权值有正有负，考虑最大权闭合子图，正权值连汇点，负权值连源点。 正权值 ......
Split to Achieve Gain
Machine Learning - Split to Achieve Gain Calculate Information Gain.TaskGiven a dataset and a split of the dataset, calculate the information gain usi ......
题解 ABC326G【Unlock Achievement】
题解 ABC326G【Unlock Achievement】 problem 有 \(n\) 项属性，第 \(j\) 个属性的等级 \(l_j\) 初始为 \(1\)，每提升一级花费 \(c_j\) 的钱。又有 \(m\) 项成就，第 \(i\) 项成就要求对于所有 \(1\leq j\leq n\ ......
Unity完美像素Sprite：怎么让图片变得清晰（转载） Unity Pixel Perfect Sprite: How To Achieve Crispy And Sharp Images
https://gamedevelopertips.com/unity-pixel-perfect-sprite/ So I was making a little prototype for my new game when I just came across a little problem. ......
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning论文阅读笔记
## 摘要 连续学习过程中的稳定性-可塑性权衡是一个重要的问题。作者提出了Auxiliary Network Continual Learning (ANCL)，通过auxiliary network提高了模型的可塑性。 ## 方法 ### The Formulation of Auxiliary ......
China's digital economy achievements impress foreign youth
GUIYANG, May 27 (Xinhua) -- The ongoing China International Big Data Industry Expo 2023, held in southwest China's Guizhou province, has attracted att ......
论文解读《Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy》
论文信息 论文标题：Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy论文作者：Alex LambVikas VermaKenji Kawa ......