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The main challenge comes from the structure of the top-K sparse softmax gating function, which partitions the input space into multiple regions with distinct behaviors. By focusing on a …
May 26, 2025 · Abstract page for arXiv paper 2505.19525: Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
This repository contains the implementation of gated attention mechanisms based on Qwen3 model architecture, along with tools for visualizing attention maps. Our modifications are …
Jun 6, 2019 · Gating is a key feature in modern neural networks including LSTMs, GRUs and sparsely-gated deep neural networks. The backbone of such gated networks is a mixture-of …
Despite MoE’s benefit in scalability, it suffers from suboptimal training eficiency. In particular, we focus on the gating mechanism that selects the experts for each token in this work. Existing …
Specifically, instead of solely relying on conventional softmax-based gating, which often results in sharp distributions and entangled gradient contributions, our method leverages the ground …
Oct 21, 2022 · In this paper, we investigate integrating this inductive bias of sparse interactions into the latent dynamics of world models trained from pixels. First, we introduce Variational …
Mar 5, 2025 · Mixture of experts (MoE) has recently emerged as an effective framework to advance the efficiency and scalability of machine learning models by softly dividing complex …
May 10, 2025 · By comparing various gating positions and computational variants, we attribute this effectiveness to two key factors: (1) introducing non-linearity upon the low-rank mapping in …
Feb 15, 2018 · We show how to optimize the expected L_0 norm of parametric models with gradient descent and introduce a new distribution that facilitates hard gating.
Oct 11, 2023 · Large language models, such as OpenAI's ChatGPT, have demonstrated exceptional language understanding capabilities in various NLP tasks. Sparsely activated …
Jun 7, 2023 · The algorithm is applied to various real-world data sets, including high-dimensional biological, image, speech, and accelerometer sensor data. We compared our method to …
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