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cs.LG2026
BCT: Bayes-Consistent Tempering for Flow Language Models
Daisuke Oba, Hiroki Furuta, Naoaki Okazaki
Temperature scaling is typically applied as a post-hoc transformation of model probabilities. In posterior-induced flow language models, this creates two mismatches. First, posteri…
cs.LG2021
Dynamic Data Augmentation with Gating Networks for Time Series Recognition
Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana
Data augmentation is a technique to improve the generalization ability of machine learning methods by increasing the size of the dataset. However, since every augmentation method i…