Search Results for author:
Found 3 papers, 2 papers with code
EWMoE: An effective model for global weather forecasting with mixture-of-experts
Weather forecasting is a crucial task for meteorologic research, with direct social and economic impacts.
I$^2$KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding
Despite of the success of existing zero-shot cross-lingual SLU models, most of them neglect to achieve the mutual guidance between intent and slots.
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
On the temporal scale, we fine-tune the pre-trained W-MAE to predict the future states of meteorological variables, thereby modeling the temporal dependencies present in weather data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
