Deep Learning Study Explores Linear Mode Connectivity
A new study titled 'Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability' explores phenomena in deep learning. Authors Vincent Bürgin, Daniel Herbst, Ya-Wei Eileen Lin, and Stefanie Jegelka detail the structured behavior of training.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability. Authors: Vincent Bürgin, Daniel Herbst, Ya-Wei Eileen Lin, Stefanie Jegelka Abstract: Many striking phenomena in deep learning, such as linear mode connectivity and the structured behavior of trainin...”
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