-
Sharpness Aware Minimization is an optimization method that has yielded substantial accuracy improvements in computer vision deep learning https://arxiv.org/abs/2010.01412
There is PyTorch code avail…
-
https://arxiv.org/abs/2010.01412
-
**Add support for [SAM based optimization](https://github.com/davda54/sam)**
**Motivation**
In Deep Learning we use optimization algorithms such as SGD/Adam to achieve convergence in our model, wh…
-
I am trying to setup OSS with sharpness-aware minimization (SAM).
https://github.com/davda54/sam
https://github.com/SamsungLabs/ASAM
I followed this guide to setup OSS, but I have difficulty wrap…
-
I'm confused about NRD checkerboard code from PrePass(RELAX_PrePass.hlsl). Is it checkerboard rendering? But as i known, checkerboard rendering use temporal N frame and N-1 frame to reconstruct full-s…
-
It would be nice to have SAM optimizer
{SHARPNESS-AWARE MINIMIZATION FOR EFFICIENTLY
IMPROVING GENERALIZATION}
https://arxiv.org/pdf/2010.01412v3.pdf
-
"Hello, thank you very much for your work. Could you please provide the structure of the dataset?"
-
As described in Readme file, the ResNet, ViT, and MLP-Mixer checkpoints optimized using "Surrogate Gap Minimization Improves Sharpness-Aware Training" are provided. However, I can only find ViT-SAM, V…
-
# prompt
Calibrate Before Use: Improving Few-Shot Performance of Language Models (https://arxiv.org/abs/2102.09690)
p-tuning (https://arxiv.org/abs/2104.08691)
Do Prompt-Based Models Really Underst…
-
I am aware that some things have been stripped out such as FFMPEG. However unlike FFMPEG, when calling `bpy.ops.object.modifier_add(type='REMESH')` no error is returned, meaning it took a while to…
HCAWN updated
4 years ago