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we propose SCoTTi (Save Computation at Training Time), an adaptive framework that addresses the aforementioned challenge. It leverages an optimizable threshold parameter to effectively reduce the number of neuron updates during training which corresponds to a decrease in memory and computation footprint.

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Fig		Fig
optim		optim
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LICENSE		LICENSE
README.md		README.md

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SCoTTi: Save Computation at Training Time with an adaptive framework (Accepted by ICCV workshop)

The SCoTTi optimizer, which demonstrates the basic implementation of the idea.

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we propose SCoTTi (Save Computation at Training Time), an adaptive framework that addresses the aforementioned challenge. It leverages an optimizable threshold parameter to effectively reduce the number of neuron updates during training which corresponds to a decrease in memory and computation footprint.

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