Poster "feed-forward networks" Papers

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Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation

Youwei Zheng, Yuxi Ren, Xin Xia et al.

ICCV 2025arXiv:2510.09094
5
citations

Masked Gated Linear Unit

Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa et al.

NEURIPS 2025arXiv:2506.23225

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

Pengcheng Huang, Zhenghao Liu, Yukun Yan et al.

NEURIPS 2025arXiv:2502.15543
4
citations

The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling

Ruochen Zhang, Qinan Yu, Matianyu Zang et al.

ICLR 2025arXiv:2410.09223
16
citations

Accelerating Transformer Pre-training with 2:4 Sparsity

Yuezhou Hu, Kang Zhao, Weiyu Huang et al.

ICML 2024arXiv:2404.01847
18
citations

On the Diminishing Returns of Width for Continual Learning

Etash Guha, Vihan Lakshman

ICML 2024arXiv:2403.06398
9
citations

ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate

Chenghao Liu, Minghua Chen

ICML 2024

Vision Transformers as Probabilistic Expansion from Learngene

Qiufeng Wang, Xu Yang, Haokun Chen et al.

ICML 2024