Merging Models with Fisher-Weighted Averaging

18 November 2021

Papers citing "Merging Models with Fisher-Weighted Averaging"

50 / 75 papers shown

Title
Dynamic Fisher-weighted Model Merging via Bayesian Optimization Sanwoo Lee Jiahao Liu Qifan Wang J. Wang Xunliang Cai Yunfang Wu MoMe 74 0 0 26 Apr 2025
Param $Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost Sheng Cao Mingrui Wu Karthik Prasad Yuandong Tian Zechun Liu MoMe 74 0 0 23 Apr 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang M. Wang Sijia Liu Pin-Yu Chen MoMe 60 2 0 15 Apr 2025
FedMerge: Federated Personalization via Model Merging Shutong Chen Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang FedML MoMe 47 0 0 09 Apr 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation Dong Zhao Jinlong Li Shuang Wang Mengyao Wu Qi Zang N. Sebe Zhun Zhong 72 0 0 23 Mar 2025
Enhanced Continual Learning of Vision-Language Models with Model Fusion Haoyuan Gao Zicong Zhang Yuqi Wei Linglan Zhao Guilin Li Y. Li Linghe Kong Weiran Huang CLL VLM 91 0 0 12 Mar 2025
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting Linqi Yang Xiongwei Zhao Qihao Sun Ke Wang Ao Chen Peng Kang 3DGS 76 0 0 07 Mar 2025
CAMEx: Curvature-aware Merging of Experts Dung V. Nguyen Minh H. Nguyen Luc Q. Nguyen R. Teo T. Nguyen Linh Duy Tran MoMe 73 2 0 26 Feb 2025
Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation Fanhu Zeng Haiyang Guo Fei Zhu Li Shen Hao Tang MoMe 49 1 0 24 Feb 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint Qianli Ma Dongrui Liu Qian Chen Linfeng Zhang Jing Shao MoMe 76 0 0 24 Feb 2025
Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation Yue Zhou Yi-Ju Chang Yuan Wu MoMe 57 2 0 24 Feb 2025
Robust Concept Erasure Using Task Vectors Minh Pham Kelly O. Marshall Chinmay Hegde Niv Cohen 112 17 0 21 Feb 2025
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models Shuqi Liu Han Wu Bowei He Xiongwei Han M. Yuan Linqi Song MoMe 47 1 0 20 Feb 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang Haris Šikić Lothar Thiele O. Saukh 44 0 0 17 Feb 2025
Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging Zhixiang Wang Zhenyu Mao Yixuan Qiao Yunfang Wu Biye Li MoMe 73 0 0 17 Feb 2025
SuperMerge: An Approach For Gradient-Based Model Merging Haoyu Yang Zheng Zhang Saket Sathe MoMe 125 0 0 17 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 101 0 0 03 Feb 2025
Position: Curvature Matrices Should Be Democratized via Linear Operators Felix Dangel Runa Eschenhagen Weronika Ormaniec Andres Fernandez Lukas Tatzel Agustinus Kristiadi 48 3 0 31 Jan 2025
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution Tatiana Anikina Arne Binder David Harbecke Stalin Varanasi Leonhard Hennig Simon Ostermann Sebastian Möller Josef van Genabith 92 0 0 31 Jan 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng Boyang Li 36 2 0 28 Jan 2025
Evolutionary Optimization of Model Merging Recipes Takuya Akiba Makoto Shing Yujin Tang Qi Sun David Ha MoMe 98 97 0 28 Jan 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement Feng Xiong Runxi Cheng Wang Chen Zhanqiu Zhang Yiwen Guo Chun Yuan Ruifeng Xu MoMe 92 4 0 10 Jan 2025
Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo Donato Crisostomi Maria Sofia Bucarelli Simone Scardapane Fabrizio Silvestri Emanuele Rodolà MoMe 87 8 0 26 Nov 2024
ATM: Improving Model Merging by Alternating Tuning and Merging Luca Zhou Daniele Solombrino Donato Crisostomi Maria Sofia Bucarelli Fabrizio Silvestri Emanuele Rodolà MoMe 37 4 0 05 Nov 2024
Collective Model Intelligence Requires Compatible Specialization Jyothish Pari Samy Jelassi Pulkit Agrawal MoMe 30 1 0 04 Nov 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 31 2 0 23 Oct 2024
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang A. Tang Didi Zhu Zhengyu Chen Li Shen Fei Wu MoMe AAML 52 3 0 17 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models Zhipeng Chen Liang Song K. Zhou Wayne Xin Zhao B. Wang Weipeng Chen Ji-Rong Wen 60 0 0 10 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 26 1 0 08 Oct 2024
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion Bowen Tian Songning Lai Yutao Yue MoMe 22 0 0 08 Oct 2024
Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 37 0 0 07 Oct 2024
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models Lucas Bandarkar Benjamin Muller Pritish Yuvraj Rui Hou Nayan Singhal Hongjiang Lv Bing-Quan Liu KELM LRM MoMe 30 2 0 02 Oct 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging Yiming Ju Ziyi Ni Xingrun Xing Zhixiong Zeng hanyu Zhao Siqi Fan Zheng Zhang MoMe 24 2 0 01 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou Zi-Wen Cai Han-Jia Ye Lijun Zhang De-Chuan Zhan CLL AI4CE 41 2 0 01 Oct 2024
Erasure Coded Neural Network Inference via Fisher Averaging Divyansh Jhunjhunwala Neharika Jali Gauri Joshi Shiqiang Wang MoMe FedML 23 1 0 02 Sep 2024
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement Le Yu Bowen Yu Haiyang Yu Fei Huang Yongbin Li MoMe 27 5 0 06 Aug 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models Jinliang Lu Ziliang Pang Min Xiao Yaochen Zhu Rui Xia Jiajun Zhang MoMe 29 17 0 08 Jul 2024
PLeaS -- Merging Models with Permutations and Least Squares Anshul Nasery J. Hayase Pang Wei Koh Sewoong Oh MoMe 38 3 0 02 Jul 2024
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization Bingdong Li Zixiang Di Yanting Yang Hong Qian Peng Yang Hao Hao Ke Tang Aimin Zhou MoMe 19 5 0 29 Jun 2024
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization Hongjun Choi Jayaraman J. Thiagarajan Ruben Glatt Shusen Liu 31 0 0 29 Jun 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection Zhuoxiao Chen Junjie Meng Mahsa Baktashmotlagh Yonggang Zhang Zi Huang Yadan Luo 72 0 0 21 Jun 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs S. Kadhe Farhan Ahmed Dennis Wei Nathalie Baracaldo Inkit Padhi MoMe MU 21 5 0 17 Jun 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion Chenghao Fan Zhenyi Lu Wei Wei Jie Tian Xiaoye Qu Dangyang Chen Yu Cheng MoMe 44 5 0 17 Jun 2024
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead Rickard Brüel-Gabrielsson Jiacheng Zhu Onkar Bhardwaj Leshem Choshen Kristjan Greenewald Mikhail Yurochkin Justin Solomon 28 5 0 17 Jun 2024
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li T. Zhang Zhiqi Bu Suyuchen Wang Huan He Jie Fu Yonghui Wu Jiang Bian Yong Chen Yoshua Bengio FedML MoMe 92 3 0 11 Jun 2024
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles Jiesong Lian Yucong Huang Chengdong Ma Mingzhi Wang Ying Wen Long Hu Yixue Hao 57 0 0 31 May 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models Chia-Yi Hsu Yu-Lin Tsai Chih-Hsun Lin Pin-Yu Chen Chia-Mu Yu Chun-ying Huang 44 30 0 27 May 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs O. Ostapenko Zhan Su E. Ponti Laurent Charlin Nicolas Le Roux Matheus Pereira Lucas Page-Caccia Alessandro Sordoni MoMe 32 30 0 18 May 2024
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models Nithin Gopalakrishnan Nair Jeya Maria Jose Valanarasu Vishal M. Patel MoMe 33 7 0 15 Apr 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 75 75 0 20 Mar 2024