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# 論文情報
https://arxiv.org/pdf/1710.09282.pdf
Yu Cheng, Duo Wang, Pan Zhou, Member, IEEE, and Tao Zhang, Senior Member, IEEE
## 一言で言うと
モデル軽量化のサーベイ論文で、4つの手法、枝刈り・量子化( PARAMETER PRUNING AND QUANTIZAT…
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Hi there, 1st of all thanks for this awesome work !
Since we've 'doxed' it in our [HyMPS project](https://forart.it/HyMPS) (under [VIDEO section](https://github.com/FORARTfe/HyMPS#-1 ) \ [AI-based …
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[cxx/ClassResultList.cxx](https://github.com/SwuduSusuwu/SubStack/blob/trunk/cxx/ClassResultList.cxx) has correspondances to [neocortex](https://wikipedia.org/wiki/Neocortex). which is what humans use…
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[Opening the Black Box of Deep Neural Networks via Information](https://arxiv.org/abs/1703.00810)
Despite their great success, there is still no comprehensive theoretical understanding of learning wi…
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I recently started reading into neural/learned compression and implemented a simple CNN training pipeline using image data that I previously encoded/compressed with a neural compression model. Neural …
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### Context
After applying quantization to the ov.Model in Neural Network Compression Framework ([NNCF](https://github.com/openvinotoolkit/nncf/tree/develop)), the quantization parameters, includin…
l-bat updated
4 weeks ago
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Hi,
sorry to bother you, but I find that your code is quite the same with SRCNN(Image Super-Resolution Using Deep Convolutional Networks), the website is http://mmlab.ie.cuhk.edu.hk/projects/SR…
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# BPE as input tokens of the transformer model
The transformer model proposed by "_Attention is all you need_" encodes the 4.5M sentence input data into a small vocabulary generated by learning sha…
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There is an older attempt to bring DNN artifact detection started at https://github.com/robotika/subt-artf/tree/master/model. This issue is meant to track information related to that effort.
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Hi! I was wondering if there is any possibility in Digits to compress a neural network.
In the paper "Deep compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffma…