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network quantization literature

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Reviews: Backprop with Approximate Activations for Memory-efficient Network Training

Neural Information Processing SystemsJan-22-2025, 16:20:44 GMT

I haven't seen papers that propose to do a simple uniform quantization in the preactivations just to save memory during training. But I could be over looking some of the network quantization literature. It shows that the proposed method is able to save memory while maintaining the same accuracy on a selection of networks on CIFAR and ImageNet. I was able to understand the core contribution and Figure 2 is very nicely designed. I think it would make it clearer, if the text can explain Eq. 9 better.

approximate activation, memory-efficient network training, network quantization literature, (5 more...)

Neural Information Processing Systems

Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.52)

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