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Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
Accurate forecasting of long-term time series has important applications for decision making and planning.
Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency
AdaPruner can still significantly enhance model performance even after pruning up to 10-30\% of the training data.
Image Data Augmentation for Deep Learning: A Survey
By improving the quantity and diversity of training data, data augmentation has become an inevitable part of deep learning model training with image data.
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