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  1. How to use adaptation in a sentence. something that is adapted; specifically : a composition rewritten into a new form; the act or process of adapting : the state of being adapted… See the full definition

  2. Mar 5, 2019 · Examples of temperature adaptation. The accumulation and maintenance of fat under the skin is a type of adaptation in cold climates According to Allen's rule [4], animals that live in cold areas have shorter extremities, ears, tails and snouts than animals that live in warmer areas. This is so then can preserve heat.

  3. Mar 17, 2024 · Abstract: Domain adaptation is a critical task in machine learning that aims to improve model performance on a target domain by leveraging knowledge from a related source domain. In this work, we introduce Universal Semi-Supervised Domain Adaptation (UniSSDA), a practical yet challenging setting where the target domain is partially labeled, and the source and target label space may not strictly match.

  4. Adaptation. An adaptation is a feature that arose and was favored by natural selection for its current function. Adaptations help an organism survive and/or reproduce in its current environment. Adaptations can take many forms: a behavior that allows better evasion of predators, a protein that functions better at body temperature, or an ...

  5. Top-performing deep architectures are trained on massive amounts of labeled data. In the absence of labeled data for a certain task, domain adaptation often provides an attractive option given that labeled data of similar nature but from a different domain (e.g. synthetic images) are available.

  6. Celebrate the 20th anniversary of ADAPTATION with this Trailer Rewind - and get it now on 4K Ultra HD: https://bit.ly/Adapt4KSubscribe to Sony Pictures for e...

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  7. Unsupervised Domain Adaptation (UDA), which aligns the labeled source distribution to the unlabeled target distribution, has shown remarkable achievement in the medical image segmentation task. Previous UDA methods unilaterally consider the global distribution alignment through explicit category-based loss while good separation and discrimination of class are insufficiently explored, resulting in the sub-aligned distribution across domains. In this paper, we propose cross-prototype ...