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1,213 claims from 764 papers are on the record. 45 have been checked so far; the other 1,168 have no check with a result yet.

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Status: Unchecked ×Keyword: parameter compression ×Clear all

3 claims from 2 papers

1. Computer Science › Advanced Neural Network Applications

   Only Train Once: A One-Shot Neural Network Training And Pruning Framework

   Chen, Bo, Ding et al. · arXiv (Cornell University) · 2021

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   1. Unchecked“OTO contains two keys: (i) we partition the parameters of DNNs into zero-invariant groups, enabling us to prune zero groups without affecting the output; and (ii) to promote zero groups, we then formulate a structured-sparsity optimization problem and propos…
   2. Unchecked“To demonstrate the effectiveness of OTO, we train and compress full models simultaneously from scratch without fine-tuning for inference speedup and parameter reduction, and achieve state-of-the-art results on VGG16 for CIFAR10, ResNet50 for CIFAR10 and Bert…

2. Computer Science › Advanced Neural Network Applications

   Reduced storage direct tensor ring decomposition for convolutional neural networks compression

   Gabor and Zdunek · arXiv (Cornell University) · 2024

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   1. Unchecked“The experiments, performed on the CIFAR-10 and ImageNet datasets, clearly demonstrate the efficiency of RSDTR in comparison to other state-of-the-art CNNs compression approaches.”