Artificial Intelligence Medical Compendium

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

Showing 31,831 to 31,840 of 220,797 articles

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance

arXiv Apr 13, 2026
Diffusion-based image editing models have achieved significant progress in real world applications. However, conventional models typically rely on natural language prompts, which often lack the precision required to localize target objects. Consequen... read more 
Computer Vision and Pattern Recognition

RAG-KT: Cross-platform Explainable Knowledge Tracing with Multi-view Fusion Retrieval Generation

arXiv Apr 13, 2026
Knowledge Tracing (KT) infers a student's knowledge state from past interactions to predict future performance. Conventional Deep Learning (DL)-based KT models are typically tied to platform-specific identifiers and latent representations, making the... read more 
Artificial Intelligence

bioLeak: Leakage-Aware Modeling and Diagnostics for Machine Learning in R

arXiv Apr 13, 2026
Data leakage remains a recurrent source of optimistic bias in biomedical machine learning studies. Standard row-wise cross-validation and globally estimated preprocessing steps are often inappropriate for data with repeated measurements, study-level ... read more 
Computation cs.LG stat.AP stat.ML

You Only Judge Once: Multi-response Reward Modeling in a Single Forward Pass

arXiv Apr 13, 2026
We present a discriminative multimodal reward model that scores all candidate responses in a single forward pass. Conventional discriminative reward models evaluate each response independently, requiring multiple forward passes, one for each potentia... read more 
Computer Vision and Pattern Recognition cs.AI

Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization

arXiv Apr 13, 2026
Background: Task-specific microscopy datasets are often small, making it difficult to train deep learning models that learn robust features. While self-supervised learning (SSL) has shown promise through pretraining on large, domain-specific datasets... read more 
Computer Vision and Pattern Recognition

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models

arXiv Apr 13, 2026
In the progress of industrial anomaly detection, general anomaly detection (GAD) is an emerging trend and also the ultimate goal. Unlike the conventional single- and multi-class AD, general AD aims to train a general AD model that can directly detect... read more 
Computer Vision and Pattern Recognition cs.AI

Speech-preserving active noise control: a deep learning approach in reverberant environments

arXiv Apr 13, 2026
Traditional Active Noise Control (ANC) systems are mostly based on FxLMS algorithms, but such algorithms rely on linear assumptions and are often limited in handling broadband non-stationary noise or nonlinear acoustic paths. Not only that, the tradi... read more 
Signal Processing cs.SD eess.AS

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models

arXiv Apr 13, 2026
Diffusion bridge models have shown great promise in image restoration by explicitly connecting clean and degraded image distributions. However, they often rely on complex and high-cost trajectories, which limit both sampling efficiency and final rest... read more 
Computer Vision and Pattern Recognition

ArtiCAD: Articulated CAD Assembly Design via Multi-Agent Code Generation

arXiv Apr 13, 2026
Parametric Computer-Aided Design (CAD) of articulated assemblies is essential for product development, yet generating these multi-part, movable models from high-level descriptions remains unexplored. To address this, we propose ArtiCAD, the first tra... read more 
Computer Vision and Pattern Recognition

ArtiCAD: Articulated CAD Assembly Design via Multi-Agent Code Generation

arXiv Apr 13, 2026
Parametric Computer-Aided Design (CAD) of articulated assemblies is essential for product development, yet generating these multi-part, movable models from high-level descriptions remains unexplored. To address this, we propose ArtiCAD, the first tra... read more 
Computer Vision and Pattern Recognition
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