标题： OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning 简介：作者提出了Orthogonal Mixture-of-Experts (OMoE)，一个提高expert多样性的MoE方法 https:// …

2025年1月17日 · Motivated by these findings, we propose Orthogonal Mixture-of-Experts (OMoE), a resource-efficient MoE variant that trains experts in an orthogonal manner to promote …

（1）OMoE（One-gate MoE）：把MoE（Mixture of Experts）的结构直接用在了多任务学习中。 有不同的专家网络Expert（结构可能不同，但都接收同一个输入）， 专家网络的结果会通 …

OMoE（One Model for Many Languages and Tasks）多任务学习是由谷歌（Google）提出的，旨在通过将多种语言和任务的训练合并到一个模型中，实现更高效、更准确的自然语言处理。该 …

Mo-tivated by these findings, we propose Orthogonal Mixture-of-Experts (OMoE), a resource-eficient MoE variant that trains experts in an orthogonal manner to promote diversity. In …

First-year high school student Yuna Ichihara heads to the train station to say farewell to her best friend, Sacchan, who is moving away. On her way out of her apartment building, she …

Love Me, Love Me Not (Japanese: 思い、思われ、ふり、ふられ, Hepburn: Omoi, Omoware, Furi, Furare) is a Japanese manga series written and illustrated by Io Sakisaka. It was serialized in …

2020年8月30日 · 多任务学习（Multitask learning）是基于共享表示（shared representation），把多个相关的任务放在一起学习的一种机器学习方法。 多任务学习涉及多个相关的任务同时并 …

本文借鉴了MoE model， 提出Multi-gate Mixture-of-Experts model (MMOE) 模型，对比shared-bottom，在模型表达能力和训练难度上都更加优秀，在真实环境中更加有效。 如上图a所示， …

Love Me, Love Me Not (Omoi, Omoware, Furi, Furare) is a shoujo manga by Io Sakisaka, which was serialized in the magazine Bessatsu Margaret from 2015 to 2019 and compiled into 12 …