Abstract: The rising popularity of deep neural networks (DNNs) in computer vision has raised concerns about their robustness in the real world. Recent works in this field have well-demonstrated the ...
Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
RapidFit handles the two biggest pain points in text classification: not enough data and too many separate models. Give it a few examples per class, and it will generate more training data using LLMs, ...
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