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 research.google
Robust Graph Neural Networks
| | anitagraser.com
GeoAI: key developments & insights | Free and Open Source GIS Ramblings
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| | It's been a while since my post on geo and the AI hype in 2019. Back then, I didn't use the term "GeoAI", even though it has certainly been around for a while (including, e.g., with dedicated SIGSPATIAL workshops since 2017). GeoAI isn't one single thing. It's an umbrella term, including: "AI for Geo" (using...
| | blog.research.google
Re-weighted gradient descent via distributionally robust optimization - Google Research Blog
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| | [AI summary] Google Research presents a lightweight algorithm called Stochastic Re-weighted Gradient Descent (RGD) that improves deep learning model performance by automatically weighting data points based on their difficulty within a distributionally robust optimization framework.
| | tech.preferred.jp
Test-time adaptation for brain tumor segmentation with cross-institutional MRI - Preferred Networks Research & Development
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| | This post is a contribution by Zongyao Li, who was an intern at PFN. I am Zongyao Li, a Ph. D. student at Graduate School of Information Science of Technology, Hokkaido University. I participated in the PFN summer internship program in 2022. During the internship, I did research on test-time adaptation for brain tumor segmentation with cross-institutional MRI. In this article, I would like to share our ideas and results in the research.
| | web.navan.dev
Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria
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| Tutorial on creating an image classifier model using TensorFlow which detects malaria