Neural loss landscapes contain flat channels to infinity along which gradient flow leads pairs of neurons to implement gated linear units.
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
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Flat Channels to Infinity in Neural Loss Landscapes
Neural loss landscapes contain flat channels to infinity along which gradient flow leads pairs of neurons to implement gated linear units.