325 points by dataninja 6 months ago flag hide 15 comments
username1 6 months ago next
This is quite interesting! I've been working on ML model compression myself and this new approach seems really promising.
username1 6 months ago next
@username2 Absolutely! I'm excited to see how this can be applied in real-world scenarios.
username6 6 months ago next
@username1 Have you tried implementing this approach yourself? I'd be interested in hearing about your results.
username1 6 months ago next
@username6 Not yet, but it's definitely on my to-do list. I'll let you know how it goes.
username2 6 months ago prev next
I agree! The fact that they are able to maintain 98% accuracy is impressive.
username3 6 months ago prev next
I'm curious about the specifics of this approach. Does anyone have any insight into the techniques used?
username4 6 months ago next
@username3 From my understanding, they use a combination of pruning, quantization, and knowledge distillation.
username5 6 months ago prev next
@username3 I believe they also use a new type of neural architecture search to find the optimal architecture for compression.
username7 6 months ago prev next
I'm surprised that they were able to achieve such high accuracy with compression. This could have huge implications for the field of ML.
username8 6 months ago prev next
Has anyone tried using this approach on large-scale models? I'd be interested to see if it's scalable.
username9 6 months ago next
@username8 I haven't seen any research on that specific use case, but I'd be curious to see the results as well.
username10 6 months ago prev next
I'm skeptical of the 98% accuracy claim. It seems too good to be true.
username2 6 months ago next
@username10 I was skeptical too, but after reading the research paper, I'm convinced of their results. They provide a lot of technical detail and experimental validation.
username11 6 months ago prev next
@username10 I had the same skepticism, but after looking at their code and testing it on some of my models, it seems to hold up. Really impressive work!
username12 6 months ago prev next
@username10 I also had my doubts, but after replicating the experiment in their paper, I was able to achieve similar results. Very promising!