FIELD NOTES TOPIC

multi-task learning

2 notes, newest first.

  1. MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation

    Source note ·

    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…

  2. Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork

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    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…