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- W4286906081 abstract "In this paper, we conjecture that if the permutation invariance of neural networks is taken into account, SGD solutions will likely have no barrier in the linear interpolation between them. Although it is a bold conjecture, we show how extensive empirical attempts fall short of refuting it. We further provide a preliminary theoretical result to support our conjecture. Our conjecture has implications for lottery ticket hypothesis, distributed training, and ensemble methods." @default.
- W4286906081 created "2022-07-25" @default.
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- W4286906081 date "2021-10-12" @default.
- W4286906081 modified "2023-09-28" @default.
- W4286906081 title "The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks" @default.
- W4286906081 doi "https://doi.org/10.48550/arxiv.2110.06296" @default.
- W4286906081 hasPublicationYear "2021" @default.
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