2 papers
cs.LG2025
Evidential Deep Active Learning for Semi-Supervised Classification
Shenkai Zhao, Xinao Zhang, Lipeng Pan +2
Semi-supervised classification based on active learning has made significant progress, but the existing methods often ignore the uncertainty estimation (or reliability) of the pred…
stat.ML2024
Stochastic Normalized Gradient Descent with Momentum for Large-Batch Training
Shen-Yi Zhao, Chang-Wei Shi, Yin-Peng Xie +1
Stochastic gradient descent~(SGD) and its variants have been the dominating optimization methods in machine learning. Compared to SGD with small-batch training, SGD with large-batc…