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- 1Budgeted Gradient Descent
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Budgeted Gradient Descent: Selective Gradient Optimization for Addressing Misclassifications in DNNs
DownloadFall 2024
Artificial neural networks have become a popular learning approach for theirability to generalize well to unseen data. However, misclassifications can still occur due to various data-related issues, such as adversarial inputs, out-of-distribution samples, and model-related challenges, such as...
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Fall 2024
Training large language models (LLMs) often requires extensive human supervision and struggles with modeling long-range text semantic dependencies. To address these challenges, we introduce our framework ELITE — Evolving Language models Iteratively Through self-critiquE — inspired by human...
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Simulation-based Sensor Configuration Optimization to Detect Human Activities in Smart Indoor Spaces
DownloadFall 2023
Smart indoor spaces include a network of interconnected sensors, predictive models, and actuators to sense occupants’ activities and act to improve living. These ubiquitous systems are increasingly popular due to their potential to improve energy efficiency, comfort, and safety in buildings....