-
# URL
- https://arxiv.org/abs/2411.02853
# Authors
- Shohei Taniguchi
- Keno Harada
- Gouki Minegishi
- Yuta Oshima
- Seong Cheol Jeong
- Go Nagahara
- Tomoshi Iiyama
- Masahiro Suzuki…
-
I was wondering if someone has seen this paper from google. it is solving the same problem as HLL but is scale invariant and has better memory consumption. Below is the abstract.
Abstract:
_In this p…
-
[train.py](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/object_detection/YOLO/train.py#L78) set the model training optimizer to Adam.
```
def main():
m…
-
Hey. Did you compare with SGDClassifier?
The results should be quite close to yours.
-
Hi, I have a feeling that layerwise optimizer, by creating numerous networks is not freeing past networks and using more GPU memory than it should. I'm having a heck of time doing layerwise training
…
-
Hello,
in you paper under Appendix I Table 3 you list different hyperparameter combinations. For the ViT-B/16 CLIP model you vary weighting it with 1.0 and with 0.0. Does a weight of 0.0 mean turni…
-
### Describe the bug
SGDOneClassSVM does not converge with default early stopping criteria, because the used loss is not actual loss, but only error, which can be easily 0.0 and then increase as th…
-
Calling Ranger21 with mostly default parameters:
```
optimizer = ranger21.Ranger21(
net.parameters(), lr=0.001, num_epochs=50, weight_decay=1e-5,
num_batches_per_epoch=len(tr…
-
![kohyaerror1](https://github.com/kohya-ss/sd-scripts/assets/143303011/2a8ca582-11b9-42c8-a6d4-890f73f83e9e)
![kohyaerror2](https://github.com/kohya-ss/sd-scripts/assets/143303011/5246f120-9d5f-4395-…
-
http://172.16.2.161:8080/job/h2o_master_DEV_gradle_build/28042/testReport/junit/hex.deeplearning/DeepLearningTest/testCreditProstateTanh/
{code}
12-09 15:45:42.144 172.16.2.179:44008 32224 FJ-…