3 papers
cs.LG2026
Prior-Aligned Data Cleaning for Tabular Foundation Models
Laure Berti-Equille
Tabular Foundation Models (TFMs) achieve state-of-the-art zero-shot accuracy on small tabular datasets by meta-learning over synthetic data-generating processes -- making them high…
cs.CV2024
Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures
Célia Blondin, Joris Guérin, Kelly Inagaki +2
Automated benthic image annotation is crucial to efficiently monitor and protect coral reefs against climate change. Current machine learning approaches fail to capture the hierarc…
cs.CL2024
Explingo: Explaining AI Predictions using Large Language Models
Alexandra Zytek, Sara Pido, Sarah Alnegheimish +2
Explanations of machine learning (ML) model predictions generated by Explainable AI (XAI) techniques such as SHAP are essential for people using ML outputs for decision-making. We…