Abstract: Autonomous underwater vehicles (AUVs) typically rely on underwater sound to communicate with sound channel physics defining communication performance. Current acoustic propagation models ...
Recent technological advances have opened valuable possibilities for supporting people with motor impairments or who are ...
(Note: the SphereFace implementation is not exactly as described in their paper but instead uses the 'trick' presented in the ArcFace paper to use arccosine instead of the double angle formula) There ...
IP diligence comes in many forms—and in today’s environment, it demands more than ever before. Whether the context is a financing round, a strategic partnership, or a full acquisition, the ...
A chair, a stopwatch, and a short diet questionnaire may be enough to identify adults at risk of future mobility decline before major physical limitations develop. Study: Early Identification of ...
Abstract: This article presents a predictive model using supervised machine learning, highlighting the importance of advanced optimization algorithms. Our approach focuses on a nonsmooth loss function ...
I am a PhD student at Carnegie Mellon University supervised by Taylor Berg-Kirkpatrick and Graham Neubig. I also collaborate with Kevin Gimpel at the Toyota Technological Institute at the University ...
ABSTRACT: This study evaluates the performance and reliability of a vision transformer (ViT) compared to convolutional neural networks (CNNs) using the ResNet50 model in classifying lung cancer from ...
People usually talk about the race to the bottom in artificial intelligence as a bad thing. But it’s different when you’re discussing loss functions. Loss functions are a crucial but frequently ...
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