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Notes on multi-task learning
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MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation
Researchers present MedPixel, a unified medical pixel-language model that bridges the gap between clinical language and visual reasoning in medical image understanding. The model is trained using MedPLG-440K, a large…
Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork
Researchers introduce a new method called CE-CM (Capability Estimation via Contextual Models) to help autonomous agents collaborate effectively with novel and diverse partners in a multi-task setting. The method infers…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
