98 citations · 264 across the 24 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.AI2020★ 1 cited
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification
Jingsong Wang, Tom Ko, Zhen Xu +4
The AutoSpeech challenge calls for automated machine learning (AutoML) solutions to automate the process of applying machine learning to speech processing tasks. These tasks, which…
cs.LG2020★ 34 cited
Network On Network for Tabular Data Classification in Real-world Applications
Yuanfei Luo, Hao Zhou, Weiwei Tu +3
Tabular data is the most common data format adopted by our customers ranging from retail, finance to E-commerce, and tabular data classification plays an essential role to their bu…
cs.LG2020★ 4 cited
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
Tong Wei, Feng Shi, Hai Wang +1
Learning from positive and unlabeled data (PU learning) is prevalent in practical applications where only a couple of examples are positively labeled. Previous PU learning studies…