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Found 2 papers, 1 papers with code
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
On the real-world task of battery material phase segmentation, PaSeR yields a minimum performance improvement of 174% on the IoU/GigaFlop metric with respect to baselines.
Causal Discovery with Stage Variables for Health Time Series
Using observational data to learn causal relationships is essential when randomized experiments are not possible, such as in healthcare.
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