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 ...
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 ...
PAPER:Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts ABSTRACT 基于神经网络的多任务学习已成功地应用于许多现实世界的大规模应用,如推荐系统。例如,在电影推荐中,除了向用户提供他们倾向于购买和观看的电影之外,系统还可以为用户之后喜欢的电影进行优化。对于多任务学习,我们的...
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 ...
of the fine-grained MoE scaling law shows that higher granularity leads to better performance. However, existing MoE models are limited to a small number of experts due to computational and optimization challenges. This paper introduces PEER (parameter efficient expert retrieval), a novel layer ...
In 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 follow the discussion with improvements to the ME model and focus particularly ...
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...
In this paper we describe the application of mixtures of experts on gender and ethnic classification of human faces, and pose classification, and show their feasibility on the FERET database of facial images. The FERET database allows us to demonstrate performance on hundreds or thousands of image...
Within a MoE, different experts handle distinct input features, producing unique expert routing patterns for various classes in a routing feature space. As a result, unknown class samples may display different expert routing patterns to known classes. In this paper, we propose Dual-Space Detection,...