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We could support dimensionality reduction through autoencoders. Here's a useful looking tutorial (it looks relatively straightforward to implement all of the variants in the tutorial): https://blog.k…
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Hi there,
I'm trying to get Sparseloop working on a Gemmini-like architecture. Specifically, I'm just trying to get a toy example matmul (described as a convolution) running.
I seem to run into…
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Dear Devs,
thank you for this library. I am currently writing my model using it, but I am a bit confused about the usage. I am working with sparse matrices but I find myself struggling with which typ…
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I would like to turn an existing convolutional neural network (ResNet) into a sparse model. This model contains `torch.nn.Conv2d` but not `torch.nn.Linear`. Does `sten` support this operation?
I ch…
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It would be great if this new MAE-style method called SparK was introduced to lightly.
Paper: https://arxiv.org/abs/2301.03580 featured in ICLR'23 Spotlight
Code: https://github.com/keyu-tian/Spar…
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Hi there,
I am currently trying to determine the robustness of sparse networks against adversarial examples. For this we are trying to reproduce the results from your paper; specifically the MNIST-…
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Hi, i've noticed a great speedup when i used lookup based convolutions for training my own network, however the speedup on the inference is quite marginal so i have been wondering if i need to change …
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Hi Alex,
Thanks for your great work. I'm reproducing the NYU v2 (generalization) experiments. I followed the instructions to prepare NYU data provided by you. When I used your pre-trained mode…
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I use this code in resunet.py
out_s8 = self.conv4(out4)
out_s8 = self.norm4(out_s8)
out_s8 = self.block4(ou…
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|id|title|author|year|
|---|---|---|---|
|3|Local Binary Convolutional Neural Networks|Juefei-Xu, Felix and Naresh Boddeti, Vishnu and Savvides, Marios|2017|