Connectionist Temporal Classification with Maximum Entropy Regularization
Hu Liu, Sheng Jin, Changshui Zhang
–Neural Information Processing Systems
However, CTC tends to produce highly peaky and overconfident distributions, which is a symptom of overfitting. To remedy this, we propose a regularization method based on maximum conditional entropy which penalizes peaky distributions and encourages exploration.
Neural Information Processing Systems
Nov-18-2025, 23:09:18 GMT
- Country:
- Asia > China
- Europe > Italy
- Calabria > Catanzaro Province > Catanzaro (0.04)
- North America > Canada
- South America > Chile
- Technology: