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Found 5 papers, 2 papers with code
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers
Leveraging the knowledge from monolithic models, using techniques such as knowledge distillation, is likely to facilitate the training of modular models and enable them to integrate knowledge from multiple models pretrained on diverse sources.
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles
Given that the employed groupings correspond to relevant sub-populations, the associations between the input features and the target values are consistent within each cluster but different across clusters.
Explainable Predictive Maintenance
We provide an overview of predictive maintenance tasks and accentuate the need and varying purposes for corresponding explanations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
Therefore, we propose a method called RefGPT to generate enormous truthful and customized dialogues without worrying about factual errors caused by the model hallucination.
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models
In this work, we present a TL method for predicting Remaining Useful Life (RUL) of equipment, under the assumption that labels are available only for the source domain and not the target domain.
