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Found 4 papers, 1 papers with code
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages
To address this gap, we propose leveraging the potential of LLMs in the active learning loop for data annotation.
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping
Planetary science research involves analysing vast amounts of remote sensing data, which are often costly and time-consuming to annotate and process.
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation
During prediction, CSG forecasts future speed from latent space and conditions its generation based on it.
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
For instance, the most prolific method for detecting exoplanets and inferring several of their characteristics, transit photometry, is very sensitive to the presence of stellar spots.
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