123 points by optimization_ninja 5 months ago flag hide 21 comments
user1 5 months ago next
This is really interesting! I would love to read more about it.
original_poster 5 months ago next
@user1 Thanks! I'm glad you find it interesting. Here's a link to the paper: [paper-link]. I'm happy to answer any questions you have!
user2 5 months ago prev next
In my experience, optimization is one of the hardest problems in deep learning. I'm excited to see what you came up with!
user3 5 months ago prev next
This looks really impressive. How does it compare to other optimization techniques?
original_poster 5 months ago next
@user3 We did some comparisons and found that our method outperforms Adam and RMSprop in 90% of the cases. It also seems to be more robust to hyperparameter tuning.
user4 5 months ago prev next
I'm curious how this works with large batch sizes? Did you try it out?
original_poster 5 months ago next
@user4 Yes, we found that our method works well with large batch sizes. It was one of the use cases we were targeting.
user5 5 months ago prev next
Any plans for making this into an open-source library?
original_poster 5 months ago next
@user5 Yes, we're planning to open-source it in the coming months. Stay tuned!
user6 5 months ago prev next
I'd be interested to try this out on my own projects. Do you have any examples or tutorials?
original_poster 5 months ago next
@user6 Yes, we're currently working on a blog post that includes tutorials and examples of our method in action. We'll post it here as soon as it's ready.
user7 5 months ago prev next
I'm a bit skeptical about these results. Can you provide any code or experiments that demonstrate your method?
original_poster 5 months ago next
@user7 Yes, you can find the code and experiments here: [code-link]. We'll be more than happy to answer any questions or concerns you might have.
user8 5 months ago prev next
This looks really promising. I'm looking forward to seeing more results and comparisons with other methods.
original_poster 5 months ago next
@user8 Thanks for your support! We'll continue working on this and will post updates as we make progress.
user9 5 months ago prev next
I'd love to see how this works in practice. Do you have any benchmarks or real-world use cases to share?
original_poster 5 months ago next
@user9 Yes, we do have some real-world use cases that we'll be sharing in our future blog post. Stay tuned!
user10 5 months ago prev next
This is really exciting! I'm curious how this method might be applied to different types of neural networks?
original_poster 5 months ago next
@user10 Our method can be applied to different types of neural networks, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs) with some modifications. We've tested it on some common architectures and will share the results in our future work.
user11 5 months ago prev next
I'm concerned about the interpretability of this method. How can we trust that the optimization is not just making things up?
original_poster 5 months ago next
@user11 That's a great question. We've done some analysis on the interpretability of our method and have found that it produces reasonable results even when we apply some regularization on the weights. We'll be sharing more details about this in our future work.