Alvin Wan

26 posts

Alvin Wan

Alvin Wan

@lvinwan

Making AI run really fast. Formerly @apple @berkeley_ai

Katılım Haziran 2013
18 Takip Edilen377 Takipçiler
Alvin Wan
Alvin Wan@lvinwan·
4/5 - For latency, reordering is both beneficial and necessary. Without it, the pruned model is actually 🚨slower🚨 than the *original, unpruned model. Fortunately, reordering reduces latency by 8.6% on average, benefiting even tiny models such as SqueezeNet (-24.9%)📈
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Alvin Wan
Alvin Wan@lvinwan·
Optimizing latency & accuracy for neural networks that fit on your phone! Introducing UPSCALE - a new export algorithm for pruned vision models with a 2.1% accuracy boost and up to 2X faster inference speeds! #ICML2023 🧵👇 Website: upscale.aaalv.in
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Alvin Wan
Alvin Wan@lvinwan·
Curious what explainable AI fails to explain? Check it out: youtu.be/fQ2eNFCSRiA or learn more about Neural-Backed Decision Trees on our website: nbdt.aaalv.in (just accepted by ICLR 2021)
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Alvin Wan retweetledi
Covista Group
Covista Group@covista_ucb·
Do we have to give up privacy to automatically track COVID-19 exposure? Several govt’s around the world have decided “yes,” but there’s an alternative. Just published 👉 @covista/governments-vs-big-tech-resolving-differences-in-contact-tracing-b3d39193bfe4" target="_blank" rel="nofollow noopener">medium.com/@covista/gover…
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Alvin Wan
Alvin Wan@lvinwan·
@vinayprabhu @TDataScience Oops, thanks for letting me know. It looks like the instance went down because it was overwhelmed. Launching a new instance now with higher capacity.
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Alvin Wan
Alvin Wan@lvinwan·
@19arr87 Thanks! Yep, NBDTs can be used for any classification task, including for NLP. We haven't tried it on NLP ourselves though.
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Renat
Renat@Renat_Abbiazov·
@lvinwan @TDataScience Looks fantastic! Could it also be used for NLP models interpretation?
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