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Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
Explaining generalizations and preventing over-confident predictions are central goals of studies on the loss landscape of neural networks.
Bias Decay Matters : Improving Large Batch Optimization with Connectivity Sharpness
To mitigate this issue, we propose simple bias decay methods including a novel adaptive one and found that this simple remedy can fill a large portion of the performance gaps that occur in large batch optimization.
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