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cs.LG2024
Efficient Model Compression for Bayesian Neural Networks
Diptarka Saha, Zihe Liu, Feng Liang
Model Compression has drawn much attention within the deep learning community recently. Compressing a dense neural network offers many advantages including lower computation cost,…
cs.LG2024
NGD converges to less degenerate solutions than SGD
Moosa Saghir, N. R. Raghavendra, Zihe Liu +1
The number of free parameters, or dimension, of a model is a straightforward way to measure its complexity: a model with more parameters can encode more information. However, this…