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Ruslan Aydarkhanov

2 accepted papers

2023

Integral Neural Networks

CVPR 2023poster

We introduce a new family of deep neural networks. Instead of the conventional representation of network layers as N-dimensional weight tensors, we use continuous layer representation along the filter and channel dimensions. We call such networks Integral Neural Networks (INNs). In particular, the w…

2022

Towards Accurate Network Quantization with Equivalent Smooth Regularizer

ECCV 2022poster

"Neural network quantization techniques have been a prevailing way to reduce the inference time and storage cost of full-precision models for mobile devices. However, they still suffer from accuracy degradation due to inappropriate gradients in the optimization phase, especially for low-bit precisio…

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