Notes on papers and books I've read
Summary of the TabPFGen paper
Summary of the ConTexTab (now sap-rpt-1-oss) paper.
Summary of the TabSTAR paper.
Summary of the TuneTables paper
Summary of the LLM/PFN-Boost paper
Summary of the original prompt tuning paper.
Summary of the paper "Trompt: Towards a Better Deep Neural Network for Tabular Data"
Summary of the PTab paper.
Summary of the paper "In-Context Data Distillation with TabPFN"
Summary of the TabR paper
Summary of the Excelformer paper.
Summary of the paper "Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data"
Summary of the paper "Making Pre-trained Language Models Great on Tabular Prediction"
Summary of the paper "TableGPT2: A Large Multimodal Model with Tabular Data Integration"
Summary of the paper "Retrieval & Fine-Tuning for In-Context Tabular Models"
Summary of the paper "Large Scale Transfer Learning for Tabular Data via Language Modeling"
Summary of the paper "TransTab: Learning Transferable Tabular Transformers Across Tables"
Summary of the paper "XTab: Cross-table Pretraining for Tabular Transformers"