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Found 4 papers, 1 papers with code
Individual Fairness Through Reweighting and Tuning
Recently, Graph Laplacian Regularizer (GLR), a regularization technique from the semi-supervised learning literature has been used as a substitute for the common Lipschitz condition to enhance individual fairness.
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain
Large Language Models (LLMs) increasingly support applications in a wide range of domains, some with potential high societal impact such as biomedicine, yet their reliability in realistic use cases is under-researched.
On generalisability of segment anything model for nuclear instance segmentation in histology images
Pre-trained on a large and diverse dataset, the segment anything model (SAM) is the first promptable foundation model in computer vision aiming at object segmentation tasks.
Uncertainty estimation for out-of-distribution detection in computational histopathology
In computational histopathology algorithms now outperform humans on a range of tasks, but to date none are employed for automated diagnoses in the clinic.
