Ple Two (プルツー, Ple Two?) is a character in Mobile Suit Gundam ZZ and the first of Elpeo Ple's Cyber Newtype clones secretly developed under the command of Glemy Toto. Unlike her progenitor Elpeo Ple, who was kind, energetic and friendly, Ple Two is very cold and professional.

The endgame in Path of Exile 2 includes countless areas in different biomes, powerful crafting, challenging bosses, unique encounters and much more. Unlock new paths and explore further into the world.

2024年8月28日 · Bandai's Figure-rise Standard series has brought to life another iconic character from the Mobile Suit Gundam universe: Ple Two from Mobile Suit Gundam ZZ. This new model captures the character in her pilot suit, offering a variety of customization options to enhance the building experience.

二、 PLE (progressive layered extraction) 分层萃取. PLE就是上述CGC网络的多层纵向叠加，以获得更加丰富的表征能力。 在分层的机制下，Gate设计成两种类型，使得不同类型Expert信息融合交互。 task-share gate融合所有Expert信息，task-specific gate只融合specific expert和share expert。 模型结构如图： 将任务A、任务B和shared expert的输出输入到下一层，下一层的gate是以这三个上一层输出的结果作为门控的输入，而不是用原始input特征作为输入。

PLE为Recsys2020最佳长论文，出自腾讯的PCG（PlatformandContentGroup）推荐视频团队。PLE是MMoE（详见MMoE）的改进版，结构简单且效果好，PLE主要是在MMoE的基础上，为每个任务增加了自己的specificexpert，仅由本任务对其梯度更新。

Elpeo Ple (エルピー・プル Erupī Puru?) is a character who appears in Mobile Suit Gundam ZZ. She is a Newtype, who first appears fighting for Neo Zeon under Glemy Toto, for which she pilots the AMX-004 Qubeley Mk-II. Ple was trained as a pilot in Axis under the supervision of Glemy Toto and others.

Ple Two from Mobile Suit Gundam ZZ joins the Figure-rise Standard model-kit series from Bandai, wearing a pilot suit! She can wear a helmet or headgear, and she comes with interchangeable facial expressions (one is tampo-printed, two are created with waterslide decals); the helmet visor can be removed too.

图3a为同一物质的吸收光谱（uv - vis）、荧光激发光谱（ple）和荧光发射光谱图（pl）。 从图中不难发现激发光谱与吸收光谱非常相似。

2025年2月11日 · 相较于MMoE（所有任务用到的expert没有区别），PLE将expert分成了2种，一种是特定任务相关的，一种是所有任务共享的。这种设计避免了expert之间参数共享的相互干扰，每个任务都有自己的expert组，可以集中精力学习本任务独特的一些信息，同时每个任务自己 …

2021年12月13日 · 论文《Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations》 ，论文提出了Progressive Layered Extraction (简称PLE)，来解决多任务学习的跷跷板现象。 我们在Paddlepaddle定义PLE的网络结构，在开源数据集Census-income Data上验证模型效果。