ZipIt! Merging Models from Different Tasks without Training

4 May 2023

Papers citing "ZipIt! Merging Models from Different Tasks without Training"

32 / 32 papers shown

Title
Dynamic Fisher-weighted Model Merging via Bayesian Optimization Sanwoo Lee Jiahao Liu Qifan Wang J. Wang Xunliang Cai Yunfang Wu MoMe 151 0 0 26 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 153 0 0 11 Apr 2025
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment Chao Wang Giulio Franzese A. Finamore Pietro Michiardi 66 0 0 18 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 82 0 0 05 Mar 2025
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach Hetarth Chopra Vidhi Rambhia Vikram Adve MoMe 70 0 0 05 Mar 2025
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models Hu Wang Ibrahim Almakky Congbo Ma Numan Saeed Mohammad Yaqub MoMe 74 0 0 27 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 54 1 0 24 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 63 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 59 0 0 17 Feb 2025
SuperMerge: An Approach For Gradient-Based Model Merging Haoyu Yang Zheng Zhang Saket Sathe MoMe 127 0 0 17 Feb 2025
Training-free Heterogeneous Model Merging Zhengqi Xu Han Zheng Jie Song Li Sun Mingli Song MoMe 72 1 0 03 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 9 0 26 Nov 2024
Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki Taishi Nakamura Takuya Akiba Yujin Tang MoMe 34 0 0 16 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models Zhipeng Chen Liang Song K. Zhou Wayne Xin Zhao Binghui Wang Weipeng Chen Ji-Rong Wen 68 0 0 10 Oct 2024
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion Bowen Tian Songning Lai Yutao Yue MoMe 30 0 0 08 Oct 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 49 18 0 08 Jul 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi Albert Manuel Orozco Camacho Eugene Belilovsky Guy Wolf FedML MoMe 29 9 0 07 Jul 2024
PLeaS -- Merging Models with Permutations and Least Squares Anshul Nasery J. Hayase Pang Wei Koh Sewoong Oh MoMe 51 3 0 02 Jul 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation Cong Wang Kuan Tian Yonghang Guan Jun Zhang Zhiwei Jiang Fei Shen Xiao Han 44 5 0 27 May 2024
No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement Mateusz Klimaszewski Piotr Andruszkiewicz Alexandra Birch MoMe 47 4 0 24 Apr 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
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models Nastaran Saadati Minh Pham Nasla Saleem Joshua R. Waite Aditya Balu Zhanhong Jiang Chinmay Hegde Soumik Sarkar MoMe 45 1 0 11 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 90 80 0 20 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks Ibrahim Almakky Santosh Sanjeev Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub Mohammad Yaqub FedML MoMe 82 3 0 18 Mar 2024
Merging Text Transformer Models from Different Initializations Neha Verma Maha Elbayad MoMe 59 7 0 01 Mar 2024
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 31 1 0 12 Dec 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 29 21 0 20 Oct 2023
Transformer Fusion with Optimal Transport Moritz Imfeld Jacopo Graldi Marco Giordano Thomas Hofmann Sotiris Anagnostidis Sidak Pal Singh ViT MoMe 32 16 0 09 Oct 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 255 314 0 11 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 332 5,785 0 29 Apr 2021
Optimizing Mode Connectivity via Neuron Alignment N. Joseph Tatro Pin-Yu Chen Payel Das Igor Melnyk P. Sattigeri Rongjie Lai MoMe 223 80 0 05 Sep 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 285 10,354 0 12 Dec 2018