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MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation

MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation

11 June 2024
Lu Li
T. Zhang
Zhiqi Bu
Suyuchen Wang
Huan He
Jie Fu
Yonghui Wu
Jiang Bian
Yong Chen
Yoshua Bengio
    FedML
    MoMe
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Papers citing "MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation"

2 / 2 papers shown
Title
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
Yu Zhou
Xingyu Wu
Jibin Wu
Liang Feng
Kay Chen Tan
MoMe
61
0
0
27 Sep 2024
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
231
4,460
0
23 Jan 2020
1