Jingjing Wu
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The paper introduces PassNet, a large-scale ecosystem for generating compiler passes using LLMs, demonstrating that LLMs can significantly accelerate graph compilation for long-tail workloads, suggesting that consistency is the primary bottleneck.
The paper introduces Score-Guided Classification (SGC), a novel framework that uses an unsupervised anomaly score as a 'Pathological Prior' to guide EEG-based depression detection, overcoming the limitations of data augmentation in small-sample settings.
Papers
Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
Xiaojing Chen, Jingqi Cheng, Xu Zhao, Wan Jiang +1 more
The paper introduces Score-Guided Classification (SGC), a novel framework that uses an unsupervised anomaly score as a 'Pathological Prior' to guide EEG-based depression detection, overcoming the limi…