Abstract: Parameter-efficient tuning methods such as LoRA could achieve comparable performance to model tuning by tuning a small portion of the parameters. However, substantial computational resources ...
Scientists from Tokyo Metropolitan University have re-engineered the popular Lattice-Boltzmann Method (LBM) for simulating ...
Solvej Balle’s “On the Calculation of Volume” rethinks the familiar story of the endlessly repeating day. By Hilary Leichter Hilary Leichter is the author of the novels “Temporary” and “Terrace Story.
Gradient descent is a method to minimize an objective function F(θ) It’s like a “fitness tracker” for your model — it tells you how good or bad your model’’ predictions are. Gradient descent isn’t a ...
Abstract: Infrared small target detection (IRSTD) is challenging due to low target-background contrast and small target size, leading to missed detections and false alarms (Fas). To address these ...
I want to calculate the gradient in my custom trained yolov8s model for creating adversarial image, but facing the following error. Can anyone suggest me what is the ...
The upcoming Geospace Dynamics Constellation (GDC) mission aims to investigate dynamic processes active in Earth’s upper atmosphere and their local, regional, and global characteristics. Achieving ...
Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...
In the world of mathematics and science, gradients are essential for understanding changes in various quantities, such as temperatures, elevations, fluid pressure, and more. Calculating gradients can ...
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