2022年9月11日 · We argue that neural network loss landscapes often contain (nearly) a single basin after accounting for all possible permutation symmetries of hidden units a la Entezari et …

2024年4月6日 · ICLR‘23华盛顿大学论文“ Git Re-basin: merging models modulo permutation symmetries“。 深度学习的成功在很大程度上归功于相对轻松地解决某些大规模非凸优化问题 …

To rebasin: To apply one of the methods described in the paper to a model, permuting the rows and columns of its weights (and biases) model_a: The model that stays unchanged; model_b: …

2022年9月15日 · 本文探讨了一种新的模型整合方法，允许在不同节点使用独立数据训练同一模型后快速合并。 这一进展为分布式训练提供高效方案，并为隐私计算带来创新思路，类似于联 …

2022年12月22日 · In this paper, we propose a Sinkhorn re-basin network with the ability to obtain the transportation plan that better suits a given objective. Unlike the current state-of-art, our …

We argue that neural network loss landscapes contain (nearly) a single basin, after accounting for all possible permutation symmetries of hidden units. We introduce three algorithms to permute …

This repository contains the official implementation of RebasinIL, a continual learning approach proposed in the paper Re-basin via implicit Sinkhorn differentiation, accepted at CVPR 2023. …

In Git, there are two main ways to integrate changes from one branch into another: the merge and the rebase. In this section you’ll learn what rebasing is, how to do it, why it’s a pretty amazing …

We argue that neural network loss landscapes contain (nearly) a single basin, after accounting for all possible permutation symmetries of hidden units. We introduce three algorithms to permute …

2024年3月2日 · Rebasing 是 Git 提供的一个合并分支的方法。 它可以将一个分支上的提交应用到另一个分支上，从而使代码提交历史更加清晰和线性。 1. 使用 interative rebase（交互式 …