FusionBench: A Comprehensive Benchmark of Deep Model Fusion

FusionBench: A Comprehensive Benchmark of Deep Model Fusion

5 June 2024

Li Shen

Han Hu

Papers citing "FusionBench: A Comprehensive Benchmark of Deep Model Fusion"

7 / 7 papers shown

Title
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 39 2 0 17 Oct 2024
Vanishing Feature: Diagnosing Model Merging and Beyond Xingyu Qu Samuel Horvath MoMe 35 2 0 05 Feb 2024
$π$ -Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation Chengyue Wu Teng Wang Yixiao Ge Zeyu Lu Rui-Zhi Zhou Ying Shan Ping Luo MoMe 60 35 0 27 Apr 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 5,353 0 11 Nov 2021
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 217 254 0 21 Oct 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,003 0 20 Apr 2018