Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints

9 December 2022

Joshua Ainslie

Papers citing "Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints"

30 / 30 papers shown

Title
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers Tianyu Chen Haoyi Zhou Yunshui Li Hao Wang Zhenru Zhang Tianchen Zhu Shanghang Zhang Jianxin Li 37 0 0 11 May 2025
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency Qingyuan Wang Guoxin Wang B. Cardiff Deepu John 38 0 0 07 May 2025
SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios Ning Cheng Jinan Xu Jialing Chen Wenjuan Han LRM 31 0 0 07 May 2025
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Rob Romijnders Stefanos Laskaridis Ali Shahin Shamsabadi Hamed Haddadi 69 0 0 25 Apr 2025
MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core Dennis Liu Zijie Yan Xin Yao Tong Liu V. Korthikanti ... Jiajie Yao Chandler Zhou David Wu Xipeng Li J. Yang MoE 70 0 0 21 Apr 2025
X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression Guihong Li Mehdi Rezagholizadeh Mingyu Yang Vikram Appia Emad Barsoum VLM 60 0 0 14 Mar 2025
MoFE: Mixture of Frozen Experts Architecture Jean Seo Jaeyoon Kim Hyopil Shin MoE 215 0 0 09 Mar 2025
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization Taishi Nakamura Takuya Akiba Kazuki Fujii Yusuke Oda Rio Yokota Jun Suzuki MoMe MoE 94 1 0 26 Feb 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs Yuhang Zhou Giannis Karamanolakis Victor Soto Anna Rumshisky Mayank Kulkarni Furong Huang Wei Ai Jianhua Lu MoMe 111 1 0 03 Feb 2025
The Race to Efficiency: A New Perspective on AI Scaling Laws Chien-Ping Lu 41 1 0 04 Jan 2025
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts Guorui Zheng Xidong Wang Juhao Liang Nuo Chen Yuping Zheng Benyou Wang MoE 35 5 0 14 Oct 2024
Layerwise Recurrent Router for Mixture-of-Experts Zihan Qiu Zeyu Huang Shuang Cheng Yizhi Zhou Zili Wang Ivan Titov Jie Fu MoE 81 2 0 13 Aug 2024
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts Xi Lin Akshat Shrivastava Liang Luo Srinivasan Iyer Mike Lewis Gargi Gosh Luke Zettlemoyer Armen Aghajanyan MoE 46 20 0 31 Jul 2024
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang Dong Shen Chaoxiang Cai Fan Yang Size Li Di Zhang Xi Li MoE 56 2 0 28 Jun 2024
$$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts$ $\texttt{MoE-RBench}$ : Towards Building Reliable Language Models with Sparse Mixture-of-Experts Guanjie Chen Xinyu Zhao Tianlong Chen Yu Cheng MoE 76 5 0 17 Jun 2024
Tiny Models are the Computational Saver for Large Models Qingyuan Wang B. Cardiff Antoine Frappé Benoît Larras Deepu John 44 2 0 26 Mar 2024
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance Jiasheng Ye Peiju Liu Tianxiang Sun Yunhua Zhou Jun Zhan Xipeng Qiu 57 64 0 25 Mar 2024
Arcee's MergeKit: A Toolkit for Merging Large Language Models Charles Goddard Shamane Siriwardhana Malikeh Ehghaghi Luke Meyers Vladimir Karpukhin Brian Benedict Mark McQuade Jacob Solawetz MoMe KELM 90 80 0 20 Mar 2024
Towards Training A Chinese Large Language Model for Anesthesiology Zhonghai Wang Jie Jiang Yibing Zhan Bohao Zhou Yanhong Li ... Liang Ding Hua Jin Jun Peng Xu Lin Weifeng Liu LM&MA 35 3 0 05 Mar 2024
Stable LM 2 1.6B Technical Report Marco Bellagente J. Tow Dakota Mahan Duy Phung Maksym Zhuravinskyi ... Paulo Rocha Harry Saini H. Teufel Niccoló Zanichelli Carlos Riquelme OSLM 49 52 0 27 Feb 2024
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 36 16 0 19 Aug 2023
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models Sheng Shen Le Hou Yan-Quan Zhou Nan Du Shayne Longpre ... Vincent Zhao Hongkun Yu Kurt Keutzer Trevor Darrell Denny Zhou ALM MoE 38 54 0 24 May 2023
Scaling Expert Language Models with Unsupervised Domain Discovery Suchin Gururangan Margaret Li M. Lewis Weijia Shi Tim Althoff Noah A. Smith Luke Zettlemoyer MoE 25 46 0 24 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 369 12,003 0 04 Mar 2022
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 James Laudon MoE 160 329 0 18 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,457 0 11 Nov 2021
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining Junyang Lin An Yang Jinze Bai Chang Zhou Le Jiang ... Jie Zhang Yong Li Wei Lin Jingren Zhou Hongxia Yang MoE 92 43 0 08 Oct 2021
Speeding up Deep Model Training by Sharing Weights and Then Unsharing Shuo Yang Le Hou Xiaodan Song Qiang Liu Denny Zhou 110 9 0 08 Oct 2021
On the Transformer Growth for Progressive BERT Training Xiaotao Gu Liyuan Liu Hongkun Yu Jing Li Chong Chen Jiawei Han VLM 69 51 0 23 Oct 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020