Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 20,741 to 20,750 of 216,088 articles

Filtering Memorization from Parameter-Space in Diffusion Models

arXiv May 11, 2026
Low-Rank Adaptation (LoRA) has become a widely used mechanism for customizing diffusion models, enabling users to inject new visual concepts or styles through lightweight parameter updates. However, LoRAs can memorize training images, causing generat... read more 
Computer Vision and Pattern Recognition

Automated Detection of Abnormalities in Zebrafish Development

arXiv May 11, 2026
Zebrafish embryos are a valuable model for drug discovery due to their optical transparency and genetic similarity to humans. However, current evaluations rely on manual inspection, which is costly and labor-intensive. While machine learning offers a... read more 
Computer Vision and Pattern Recognition

Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data

arXiv May 11, 2026
Long-tailed distributions in class-imbalanced data present a fundamental challenge for deep learning models, which tend to be biased toward majority classes. While recent methods for long-tailed recognition have mitigated this issue, they are largely... read more 
Computer Vision and Pattern Recognition cs.AI stat.ML

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs

arXiv May 11, 2026
Biomedical knowledge graphs are increasingly large, dynamic, and multimodal, driven by rapid advances in biotechnology such as high-throughput sequencing. Machine learning models can infer previously unobserved biomedical relationships and characteri... read more 
Machine Learning cs.AI

DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation

arXiv May 11, 2026
Medical image segmentation models can perform unevenly across subgroups. Most existing fairness methods focus on improving average subgroup performance, implicitly treating each subgroup as internally homogeneous. However, this can hide difficult cas... read more 
Computer Vision and Pattern Recognition cs.AI

Improving Human Image Animation via Semantic Representation Alignment

arXiv May 11, 2026
The field of image-to-video generation has made remarkable progress. However, challenges such as human limb twisting and facial distortion persist, especially when generating long videos or modeling intensive motions. Existing human image animation w... read more 
Computer Vision and Pattern Recognition

PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs

arXiv May 11, 2026
Biomedical knowledge graphs underwrite drug repurposing and clinical decision support, yet the upstream ontologies they depend on update on independent cycles that add millions of edges and deprecate hundreds of thousands more between releases. Yet e... read more 
Artificial Intelligence cs.LG

ConfoundingSHAP: Quantifying confounding strength in causal inference

arXiv May 11, 2026
In causal inference, confounders are variables that influence both treatment decisions and outcomes. However, unlike as in randomized clinical trials, the treatment assignment mechanism in observational studies is not known, and it is thus unclear wh... read more 
Machine Learning

HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds

arXiv May 11, 2026
Rare semantic innovations in high-dimensional, mission-critical domains are often obscured by dense background contexts, a challenge we define as \textit{feature density conflict}. We introduce the \textbf{Hybrid Hierarchical SAE (HH-SAE)} to resolve... read more 
Machine Learning cs.AI

Deep Arguing

arXiv May 11, 2026
Deep learning has become the dominant approach for creating high capacity, scalable models across diverse data modalities. However, because these models rely on a large number of learned parameters, tightly couple feature extraction with task objecti... read more 
Artificial Intelligence
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