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Nimrod Berman

As seen in: Towards Data Science
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Articles

FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video

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By Nimrod Berman, Ilan Naiman, Hedi Zisling, Alexey Gorkor
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (700) Issue with article?

Active Learning for Cell Imaging

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By Nimrod Berman
| Towards Data Science
Prioritize labeling of cell imaging samples based on the prospective impact of their label on the model’s performance. Adi Nissim, Noam Siegel, Nimrod Berman One of the main obstacles standing in front of many machine learning tasks is the lack of labeled data. Labeling data might be exhausting and expensive. Thus, many times it is not reasonable to even try to solve a problem using machine learning methods due to lack of labels.
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