1. Adaptive mixtures of local experts,Neural Computation'1991 期刊/会议:Neural Computation (1991) 论文链接:https://readpaper.com/paper/2150884987 代表性作者:Michael Jordan, Geoffrey Hinton 这是大多数MoE论文都引用的最早的一篇文章,发表于1991年,作者中有两个大家熟知的大佬:Michael Jordan 和 Geoffrey Hi...
4.2 Multi-gateMixture-of-Experts 我们提出了一种新的MoE模型,该模型旨在捕获任务差异,而与共享底部的多任务模型相比,不需要太多的模型参数。 新模型称为Multi-gate Mixture-of-Experts (MMoE) model,其中的主要思想是用Eq 5中的MoE层替换Eq1中的共享底部网络f。更重要的是,我们为每个任务k添加一个单独的门控...
1. Adaptive mixtures of local experts, Neural Computation'1991 期刊/会议:Neural Computation (1991) 论文链接:https://readpaper.com/paper/2150884987 代表性作者:Michael Jordan, Geoffrey Hinton 这是大多数MoE论文都引用的最早的一篇文章,发表于1991年,作者...
1. Adaptive mixtures of local experts, Neural Computation'1991 期刊/会议:Neural Computation (1991) 论文链接:https://readpaper.com/paper/2150884987 代表性作者:Michael Jordan, Geoffrey Hinton 这是大多数MoE论文都引用的最早的一篇文章,发表于1991年,作者中有两个大家熟知的大佬:Michael Jordan 和 Geoffrey ...
In this paper, we reveal that different node predictors are good at handling nodes with specific patterns and only apply one node predictor uniformly could lead to suboptimal result. To mitigate this gap, we propose a mixture of experts framework, MoE-NP, for node classification. Specifically, ...
feature level called Mixture of Experts based Multi-task Supervised Learning from Crowds (MMLC). Two truth inference strategies are proposed within MMLC. The first strategy, named MMLC-owf, utilizes clustering methods in the worker spectral space to identify the projection vector of the oracle ...
Origin paper Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou, Tao Lei, Han-Chu Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, J. Laudon 2022 Brainformers: Trading Simplicity for Efficiency Yan-Quan Zhou, Nan Du, Ya...
This paper introduces a novel method for reconstructing handwriting trajectories from kinematic sensor signals embedded in a digital pen, called Digipen designed by STABILO. We present a mixture-of-experts where each model is task-specific. The first expert model predicts touching strokes and processes...
mixture of Gaussian process expertsregressionstatistical propertiessurveyvariationalIn this paper, we provide a comprehensive survey of the mixture of experts (ME). We discuss the fundamental models for regression and classification and also their training with the expectation-maximization algorithm. We ...
Though much of the modern implementation of mixture of experts setups was developed over (roughly) the past decade, the core premise behind MoE models originates from the 1991 paper “Adaptive Mixture of Local Experts.” The paper proposed training an AI system composed of separate networks that...