1 citations · 1 across the 4 of their papers we have counts for
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TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
Duong Nguyen, Mohammed Jawhar, Nicolas Chesneau
Tabular foundation models (TFMs), such as TabPFN-2.6, TabICLv2, ConTextTab, Mitra, LimiX, and TabDPT, achieve strong zero-shot performance through in-context learning, but their in…
Domain Generalization via Pareto Optimal Gradient Matching
Khoi Do, Duong Nguyen, Nam-Khanh Le +3
In this study, we address the gradient-based domain generalization problem, where predictors aim for consistent gradient directions across different domains. Existing methods have…
Federated Domain Generalization with Data-free On-server Matching Gradient
Trong-Binh Nguyen, Minh-Duong Nguyen, Jinsun Park +2
Domain Generalization (DG) aims to learn from multiple known source domains a model that can generalize well to unknown target domains. One of the key approaches in DG is training…