3 papers
cs.LG2026
Label Shift Estimation With Incremental Prior Update
Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
An assumption often made in supervised learning is that the training and testing sets have the same label distribution. However, in real-life scenarios, this assumption rarely hold…
cs.LG2025
Instance-Wise Monotonic Calibration by Constrained Transformation
Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
Deep neural networks often produce miscalibrated probability estimates, leading to overconfident predictions. A common approach for calibration is fitting a post-hoc calibration ma…
cs.LG2025
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
Time series classification is usually regarded as a distinct task from tabular data classification due to the importance of temporal information. However, in this paper, by perform…