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We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK as the original (dense and unquantized) network, with its weights and activations taking values only in {0, 1, -1} up to scaling.

Home Page: https://proceedings.neurips.cc/paper_files/paper/2022/file/185087ea328b4f03ea8fd0c8aa96f747-Paper-Conference.pdf

License: Apache License 2.0

Python 100.00%

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duyongqi avatar gly-no avatar zhenyu-liao avatar

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