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### Subject of the issue
The `--download-notebooks` option makes coursera-dl throws an exception
### Your environment
* Operating System (name/version): Windows 10 Educational
* Python version: …
ghost updated
4 years ago
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Hi Rahaf,
From my understanding in your papers, the penalty term(theta-theta*) is not limited to mse, right?
have u tried L1 loss?
or even use L1 difference to derive the gij?
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Hello all,
I wonder if anyone has a pretrained model available for the equivariant ResNet from [this example](https://github.com/QUVA-Lab/escnn/blob/master/examples/e2wrn.py) and the SE(3) equivari…
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**Which Component**
Sentinel
**Is your featu…
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Hi, I am not able to understand the role of the entropy loss you use in your code, which was not mentioned in the paper.
https://github.com/lijin118/CGDM/blob/2d8fee0c8df158fb078ceed65979abbe46282…
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# Distilling a Random Forest to a single DecisionTree - Machine Learning Blog
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) …
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# URL
- https://arxiv.org/abs/2411.05663
# Authors
- Xiwen Wei
- Guihong Li
- Radu Marculescu
# Abstract
- Catastrophic forgetting is a significant challenge in online continual learning (OCL)…
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I just reimplement GIANT in Spark and test it on real-world data for CTR prediction which is very high dimensional d = 2^26.
In order to have a better hessian approximation, each partition of RDD has…
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In actual problem, I have only data can this be used to discover all the parameters?
I tried using k and mu as unknown parameters but solution dont converge.
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Hello, can you provide the trained weights used in your paper for us to reproduce your prediction capabilities? Thank you!