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research.google | ||
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tech.preferred.jp
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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. | |
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www.shaped.ai
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| | | | | Imagine a world where AI not only finds the perfect job for a candidate but also helps recruiters identify top talent and enables organizations to make smarter hiring decisions-all before anyone says a word. While this may sound like science fiction, AI-powered job matching is reshaping how talent meets opportunity. But beneath the algorithmic matchmaking lies a complex web of competing interests between candidates, recruiters, and organizations. Job recommender systems are becoming indispensable in the modern AI-driven recruitment landscape. This research explores the explainable multi-stakeholder job recommender systems that address transparency, fairness, and explainability issues while harmonizing the needs of job seekers, recruiters, and companies. | |
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iclr-blogposts.github.io
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| | | | | Home to the 2024 ICLR Blogposts track | |
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xcorr.net
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| | | 2022 was the year of generative AI models: DALL-E 2, MidJourney, Stable Diffusion, and Imagen all showed that it's possible to generate grounded, photorealistic images. These generative AIs are instances of conditional denoising diffusion probabilistic models, or DDPMs. Despite these flashy applications, DDPMs have thus far had little impact on neuroscience. An oil painting of... | ||
