Abstract: Corruptions due to data perturbations and label noise are prevalent in the datasets from unreliable sources, which poses significant threats to model training. Despite existing efforts in ...
Abstract: Emotion recognition based on EEG signals has been a challenging task. The acquisition of EEG signals is complex, time-consuming, and has a high overhead. Artificial Intelligence Generated ...
Elon Musk’s artificial intelligence company xAI filed a federal lawsuit alleging a California law requiring AI companies to reveal their training data is an unconstitutional “trade-secrets-destroying ...
We introduce VeriStruct, a novel framework that extends AI-assisted automated verification from single functions to more complex data structure modules in Verus. VeriStruct employs a planner module to ...
From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Explore The Most Powerful Tech Event in the World with ...
Official implementation of the paper Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection accepted at the 21st International Conference ...
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