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cs.LG2026
Structure-Guided Spatiotemporal Attention Graph Neural Network for Traffic Flow Prediction
Xuanmian He, Can Li, Wanjing Ma
Deep spatiotemporal models integrating graph convolutions and attention mechanisms have demonstrated excellent performance in network-level traffic flow prediction, owing to their…
cs.LG2024
Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies
Qi Liu, Wanjing Ma
Data corruption, including missing and noisy data, poses significant challenges in real-world machine learning. This study investigates the effects of data corruption on model perf…
cs.LG2024
The Epochal Sawtooth Phenomenon: Unveiling Training Loss Oscillations in Adam and Other Optimizers
Qi Liu, Wanjing Ma
In this paper, we identify and analyze a recurring training loss pattern, which we term the \textit{Epochal Sawtooth Phenomenon (ESP)}, commonly observed during training with adapt…