5/5 - Check out the original paper; if you’re at ICML, find me at Hall 1 #729 today 7/26, 11a-12:30p!
Paper: https://t.co/Y0nwLikFHJ
arXiv: https://t.co/Up4sMxZXWA
Collaboration with: @HanxiangHao, @kaushikpatnaik, Sam Xu, @hadad_omer, @dgueraco, @jrenzhile, Qi Shan
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: https://t.co/qv8guBo3hA
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%)📈
Curious what explainable AI fails to explain? Check it out: https://t.co/PFiPzv3Rhx or learn more about Neural-Backed Decision Trees on our website: https://t.co/eqiqsopumu (just accepted by ICLR 2021)
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 👉 https://t.co/XtAhUJaPd6
@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.
"Explaining what Explainable AI Did Not": @lvinwan describes how to make models as accurate as neural networks but with an interpretable decision process in the new BAIR blog!
https://t.co/nvJois1H8j
#xai
In Part 1 of an upcoming article series by @lvinwan, you can learn how to build a simple, interactive VR model for an endless runner game — with webVR and a number of cool A-Frame concepts.
↬ Article: https://t.co/YDGaMSGADG
↬ Demo: https://t.co/Wis3X8f3Vx
✏️ An introduction to programming in three dimensions and a guide to deploying a virtual reality model on the web, by @lvinwan:
https://t.co/yBPFH3rMPS
✏️ What are the fundamentals of machine learning, and what are the necessary tools to evaluate risk and other concerns in a machine learning application? @lvinwan covers everything you need to get started: https://t.co/4ns72eGJ7o