Artificial Intelligence Medical Compendium

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

Showing 41,731 to 41,740 of 223,853 articles

MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions

arXiv Mar 15, 2026
Modern recommendation systems rank candidates by aggregating multiple behavioral signals through a value model. However, many commonly used signals are inherently affected by heterogeneous biases. For example, watch time naturally favors long-form co... read more 
Machine Learning cs.AI cs.IR

GenState-AI: State-Aware Dataset for Text-to-Video Retrieval on AI-Generated Videos

arXiv Mar 15, 2026
Existing text-to-video retrieval benchmarks are dominated by real-world footage where much of the semantics can be inferred from a single frame, leaving temporal reasoning and explicit end-state grounding under-evaluated. We introduce GenState-AI, an... read more 
Computer Vision and Pattern Recognition cs.IR cs.MM

V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

arXiv Mar 15, 2026
We present V-JEPA 2.1, a family of self-supervised models that learn dense, high-quality visual representations for both images and videos while retaining strong global scene understanding. The approach combines four key components. First, a dense pr... read more 
Computer Vision and Pattern Recognition

Unlearning-based sliding window for continual learning under concept drift

arXiv Mar 15, 2026
Traditional machine learning assumes a stationary data distribution, yet many real-world applications operate on nonstationary streams in which the underlying concept evolves over time. This problem can also be viewed as task-free continual learning ... read more 
Machine Learning

Fine-tuning MLLMs Without Forgetting Is Easier Than You Think

arXiv Mar 15, 2026
The paper demonstrate that simple adjustments of the fine-tuning recipes of multimodal large language models (MLLM) are sufficient to mitigate catastrophic forgetting. On visual question answering, we design a 2x2 experimental framework to assess mod... read more 
Computer Vision and Pattern Recognition cs.CL cs.LG

Refining 3D Medical Segmentation with Verbal Instruction

arXiv Mar 15, 2026
Accurate 3D anatomical segmentation is essential for clinical diagnosis and surgical planning. However, automated models frequently generate suboptimal shape predictions due to factors such as limited and imbalanced training data, inadequate labeling... read more 
Computer Vision and Pattern Recognition cs.LG

Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models

arXiv Mar 15, 2026
Optimizing the noise samples of diffusion and flow models is an increasingly popular approach to align these models to target rewards at inference time. However, we observe that these approaches are usually restricted to differentiable or cheap rewar... read more 
Machine Learning cs.AI cs.CV

VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning

arXiv Mar 15, 2026
Vision-Language-Action (VLA) models have shown promising capabilities for embodied intelligence, but most existing approaches rely on text-based chain-of-thought reasoning where visual inputs are treated as static context. This limits the ability of ... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

Interp3R: Continuous-time 3D Geometry Estimation with Frames and Events

arXiv Mar 15, 2026
In recent years, 3D visual foundation models pioneered by pointmap-based approaches such as DUSt3R have attracted a lot of interest, achieving impressive accuracy and strong generalization across diverse scenes. However, these methods are inherently ... read more 
Computer Vision and Pattern Recognition cs.RO

Distilling Latent Manifolds: Resolution Extrapolation by Variational Autoencoders

arXiv Mar 15, 2026
Variational Autoencoder (VAE) encoders play a critical role in modern generative models, yet their computational cost often motivates the use of knowledge distillation or quantification to obtain compact alternatives. Existing studies typically belie... read more 
Computer Vision and Pattern Recognition
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