Concrete Subspace Learning based Interference Elimination for Multi-task
Model Fusion

Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion

11 December 2023

Li Shen

Liang Ding

Bo Du

Papers citing "Concrete Subspace Learning based Interference Elimination for Multi-task 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 52 3 0 17 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 29 18 0 08 Jul 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 80 35 0 27 Apr 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 312 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 258 7,412 0 11 Nov 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
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 6,943 0 20 Apr 2018