← Search

Youngin Cho

2 accepted papers

2022

Mining Multi-Label Samples from Single Positive Labels

NeurIPS 2022accept

Conditional generative adversarial networks (cGANs) have shown superior results in class-conditional generation tasks. To simultaneously control multiple conditions, cGANs require multi-label training datasets, where multiple labels can be assigned to each data instance. Nevertheless, the tremendous…

Cited by 7SourcePDFScholar
2022

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting

NeurIPS 2022accept

Time series forecasting has become a critical task due to its high practicality in real-world applications such as traffic, energy consumption, economics and finance, and disease analysis. Recent deep-learning-based approaches have shown remarkable success in time series forecasting. Nonetheless, du…

Cited by 6SourcePDFScholar