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Found 4 papers, 2 papers with code
Mirage: Model-Agnostic Graph Distillation for Graph Classification
GNNs, like other deep learning models, are data and computation hungry.
Diffusion Model with Clustering-based Conditioning for Food Image Generation
Image-based dietary assessment serves as an efficient and accurate solution for recording and analyzing nutrition intake using eating occasion images as input.
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks
In addition, FRIGATE is robust to frugal sensor deployment, changes in road network connectivity, and temporal irregularity in sensing.
Conditional Synthetic Food Image Generation
Therefore, we aim to explore the capability and improve the performance of GAN methods for food image generation.
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