2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Neural Network Conversion of Machine Learning Pipelines
Man-Ling Sung, Jan Silovsky, Man-Hung Siu +2
Transfer learning and knowledge distillation has recently gained a lot of attention in the deep learning community. One transfer approach, the student-teacher learning, has been sh…
cs.CV2020★ 2 cited
Learning from Noisy Labels with Noise Modeling Network
Zhuolin Jiang, Jan Silovsky, Man-Hung Siu +3
Multi-label image classification has generated significant interest in recent years and the performance of such systems often suffers from the not so infrequent occurrence of incor…
cs.LG2019
Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data
Herbert Gish, Jan Silovsky, Man-Ling Sung +3
We investigate the problem of machine learning with mislabeled training data. We try to make the effects of mislabeled training better understood through analysis of the basic mode…