Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical ...
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Abstract: The cross-channel deblurring problem in color image processing is difficult to solve due to the complex coupling and structural blurring of color pixels. Until now, there are few efficient ...
Abstract: Hyperspectral image (HSI) denoising is a critical yet challenging task. While low-rank (LR) tensor decomposition methods, such as tensor ring decomposition (TRD), have shown promise in ...
A little question about regularization. Non parametric models, like random forests, make no hypothesis on the distribution of the data and can adapt to any shapes. The counterpart is they can even fit ...
Missouri lawmakers have banned educators from leaning on a model of reading instruction called the “three-cueing” method as part of a bipartisan education package signed by Gov. Mike Kehoe on ...
According to Andrej Karpathy (@karpathy), maintaining strong regularization is crucial to prevent model degradation when applying Reinforcement Learning from Human Feedback (RLHF) in AI systems ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results