13 citations · 30 across the 10 of their papers we have counts for
4 papers · 2 filters
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Lan Li, Bowen Tao, Lu Han +2
Differing from traditional semi-supervised learning, class-imbalanced semi-supervised learning presents two distinct challenges: (1) The imbalanced distribution of training samples…
Learning Robust Precipitation Forecaster by Temporal Frame Interpolation
Lu Han, Xu-Yang Chen, Han-Jia Ye +1
Recent advances in deep learning have significantly elevated weather prediction models. However, these models often falter in real-world scenarios due to their sensitivity to spati…
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Lu Han, Han-Jia Ye, De-Chuan Zhan
Multivariate time series data comprises various channels of variables. The multivariate forecasting models need to capture the relationship between the channels to accurately predi…
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning
Lu Han, Han-Jia Ye, De-Chuan Zhan
When there are unlabeled Out-Of-Distribution (OOD) data from other classes, Semi-Supervised Learning (SSL) methods suffer from severe performance degradation and even get worse tha…