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IVRL avatar

IVRL/RobustBinarySubNet

0
View on GitHub↗
4 stars·1 fork·Python·MIT·4 views

RobustBinarySubNet

Official implementation of the NeurIPS 2022 accepted paper "Robust Binary Models by Pruning Randomly-initialized Networks"

Features

  • Weight Pruning - Pruning randomly-initialized networks to create robust binary models.

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Open-source alternatives to RobustBinarySubNet

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  • chrundle/bipropchrundle avatar

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    This method identifies a binary weight or binary weight and activation subnetwork within a randomly initialized network that achieves performance comparable to, and sometimes better than, a weight-optimized network. The resulting binarized and pruned networks that achieve comparable performance…

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Frequently asked questions

What does ivrl/robustbinarysubnet do?

Official implementation of the NeurIPS 2022 accepted paper "Robust Binary Models by Pruning Randomly-initialized Networks"

What are the main features of ivrl/robustbinarysubnet?

The main features of ivrl/robustbinarysubnet are: Weight Pruning.

What are some open-source alternatives to ivrl/robustbinarysubnet?

Open-source alternatives to ivrl/robustbinarysubnet include: tencent/pocketflow — PocketFlow is an integrated toolkit for deep learning model compression, distributed training, and mobile format… chrundle/biprop — This method identifies a binary weight or binary weight and activation subnetwork within a randomly initialized… dchiji-ntt/iterand — by Daiki Chijiwa\*, Shin’ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue. dem123456789/pruning-deep-neural-networks-from-a-sparsity-perspective — [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective. densoitlab/bitprune — This is the official repo for ICLR 2023 Paper "Bit-Pruning: A Sparse Multiplication-Less Dot-Product" Yusuke Sekikawa… boone891214/sanity-check-lth — Sample code use for NeurIPS 2021 paper: Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the…