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Accurate predictions on small data with a tabular foundation model
Tabular data, spreadsheets organized in rows and columns, are ubiquitous across scientific
fields, from biomedicine to particle physics to economics and climate science,. The …
fields, from biomedicine to particle physics to economics and climate science,. The …
Towards Localization via Data Embedding for TabPFN
Prior-data fitted networks (PFNs), especially TabPFN, have shown significant promise in
tabular data prediction. However, their scalability is limited by the quadratic complexity of the …
tabular data prediction. However, their scalability is limited by the quadratic complexity of the …
Exploration of autoregressive models for in-context learning on tabular data
SK Baur, S Kim - NeurIPS 2024 Third Table Representation Learning … - openreview.net
We explore different auto-regressive model architectures for in-context learning on tabular
datasets trained in a similar manner to TabPFN. Namely, we compare transformer based …
datasets trained in a similar manner to TabPFN. Namely, we compare transformer based …