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Found 3 papers, 3 papers with code
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
In particular, the learning rate, which can be interpreted as a temperature-like parameter within the statistical mechanics of learning, plays a crucial role in neural network training.
A Three-regime Model of Network Pruning
Our approach uses temperature-like and load-like parameters to model the impact of neural network (NN) training hyperparameters on pruning performance.
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks
Our finding shows that a leading factor in determining recognition versus reconstruction is how dispersed the training data is.
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