Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...
Shareholder/Analyst Call February 5, 2026 3:30 PM ESTCompany ParticipantsRyan Watts - Co-Founder, President, CEO ...
Plenty of presidents have reached for a salty four-letter word when the moment felt right, but why would the Trump administration stop there? This week it’s been getting significant mileage from a ...
Abstract: Despite the significant success of deep learning in computer vision tasks, cross-domain tasks still present a challenge in which the model’s performance will degrade when the training set ...
Why I chose this topic: Batch Normalization is a fundamental technique that improves the training stability and speed of deep neural networks. I chose this topic because it is widely used in practice, ...
Hi @johnnynunez and @ahatamiz! Thank you for your excellent work on MambaVision! I have been reviewing the architecture described in Section 3.1 ("Macro Architecture") of the paper, where the ...
Normalization layers have become fundamental components of modern neural networks, significantly improving optimization by stabilizing gradient flow, reducing sensitivity to weight initialization, and ...
ABSTRACT: Pneumonia remains a significant cause of morbidity and mortality worldwide, particularly in vulnerable populations such as children and the elderly. Early detection through chest X-ray ...
Abstract: In real-world scenarios, the number of training samples across classes usually subjects to a long-tailed distribution. The conventionally trained network may achieve unexpected inferior ...
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