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Neural collapse: A review on modelling principles and generalization
V Kothapalli - ar** enables a
multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem …
multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem …
Towards understanding ensemble, knowledge distillation and self-distillation in deep learning
We formally study how ensemble of deep learning models can improve test accuracy, and
how the superior performance of ensemble can be distilled into a single model using …
how the superior performance of ensemble can be distilled into a single model using …
Orthogonal representations for robust context-dependent task performance in brains and neural networks
How do neural populations code for multiple, potentially conflicting tasks? Here we used
computational simulations involving neural networks to define" lazy" and" rich" coding …
computational simulations involving neural networks to define" lazy" and" rich" coding …