3 papers
cs.LG2025
FOSSIL: Regret-minimizing weighting for robust learning under imbalance and small data
J. Cha, J. Lee, J. Cho +1
Imbalanced and small data regimes are pervasive in domains such as rare disease imaging, genomics, and disaster response, where labeled samples are scarce and naive augmentation of…
eess.AS2025
Speech Enhancement based on cascaded two flows
Seonggyu Lee, Sein Cheong, Sangwook Han +2
Speech enhancement (SE) based on diffusion probabilistic models has exhibited impressive performance, while requiring a relatively high number of function evaluations (NFE). Recent…
eess.AS2025
FlowSE: Flow Matching-based Speech Enhancement
Seonggyu Lee, Sein Cheong, Sangwook Han +1
Diffusion probabilistic models have shown impressive performance for speech enhancement, but they typically require 25 to 60 function evaluations in the inference phase, resulting…