Pretraining on 16nm data and fine-tuning on 5nm data with silicon odometer features reduces Vmin prediction RMSE on 5nm chips to 3.89 mV versus 4.59 to 7.09 mV for baselines.
Catboost: unbiased boosting with categorical features,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
support 1representative citing papers
citing papers explorer
-
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing
Pretraining on 16nm data and fine-tuning on 5nm data with silicon odometer features reduces Vmin prediction RMSE on 5nm chips to 3.89 mV versus 4.59 to 7.09 mV for baselines.