stability-plasticity plasticity achieving auxiliary
Chinese Solution to Plastic Pollution in Philippines
Plastic Pollution in the Philippines A growing middle class, increased consumer demand and a strong economic boom have spurred the Philippines’ econom ......
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (5)
Qualitative Results如下图所示: ......
cancer cell plasticity | 可塑性
2023年11月17日 生物体不是简单的机械零件的堆积，而是一个灵动的整体，从细胞层面而言，就是神奇的细胞可塑性。 尤其是cancer cell，它无时无刻都在自我适应和进化，这其中是否涉及到一个统一的表观机制呢？ Why cancer cell plasticity?Some cells can ......
Get environmentally friendly, biodegradable plastics into the market
Now digital techs empower plastic pollution combat in China, and our new material combined with non-enzymic hydrolysis, water dissolution and biodegra ......
Plastic Pollution Control Action Plan
What is the Plastic Pollution Control Action Plan? Since China issued the Opinions on Enhanced Control Measures against Plastic Pollution in January 2 ......
《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 ......
Plastic Pollution
Causes： Made from polythene, plastic bags in landfill sites are supposed to last between a conservative 200 years to an estimated 1 million years. Ove ......
Plastic pollution
What is plastic pollution? Plastic pollution, also known as white pollution, is the accumulation in the environment of synthetic plastic products to t ......
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\ ......
plasticity 导入 blender
准备 plasticity-blender-addon-Feature-Enhancements Quad Remesher for blender , https://www.exoside.com/quadremesherdata/QuadRemesher_1.2_UserDoc.pdf 步骤 ......
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. ......
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (3)
损失函数分为3种类型: (1) 对于热力图,用以下的Focal Loss计算: (2) 对于深度,采用Laplacian aleatoric uncertainty loss function for depth计算: (3) 对于尺寸采用L1 Loss计算: ......
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (2)
Feature backbone采用DLA,输入维度为3×H×W的RGB图,得到维度D×h×w的特征图F,然后将特征图送入几个轻量级regression heads,2D bouding boxes的中心特征图用下面的模块得到: 其中AN是Attentive Normalization.用公式表示: ......
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection(1)
MonoCon的网络结构和MonoDLE几乎一样,只是添加了辅助学习(Auxiliary Learning, AL)模块. 网络结构如上图所示,对于3D目标检测来说,预测2D框是没有必要的,但是MonoCon在训练阶段仍然计算了2D框的损失函数,但是在推理的时候,并不会预测2D框,这就是所谓的辅助学 ......
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 ......
Short-Term Plasticity Neurons Learning to Learn and Forget
郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ Proceedings of the 39th International Conference on Machine Learning ......
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 ......
论文解读《Do We Need Zero Training Loss After Achieving Zero Training Error?》
论文信息 论文标题：Do We Need Zero Training Loss After Achieving Zero Training Error?论文作者：Takashi Ishida, I. Yamane, Tomoya Sakai, Gang Niu, M. Sugiyama论文来源：20 ......
Understanding plasticity in neural networks
郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ Arxiv 2023 Abstract 可塑性是神经网络根据新信息快速改变预测的能力，对于深度强化学习系统的适应性和鲁棒性至关重要。众所周知，即使在相对简单的学习问题中，深度神经网络也会在训练过程中失去可塑性，但驱动这种现象的机制仍知之甚 ......