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Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
2025-02-06
Summary of the LLM/PFN-Boost paper
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In-Context Data Distillation with TabPFN
2024-12-19
Summary of the paper "In-Context Data Distillation with TabPFN"
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TabR: Tabular Deep Learning Meets Nearest Neighbors
2024-12-12
Summary of the TabR paper
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Can a Deep Learning Model be a Sure Bet for Tabular Prediction?
2024-12-11
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Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data
2024-12-11
Summary of the paper "Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data"
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Making Pre-trained Language Models Great on Tabular Prediction
2024-11-28
Summary of the paper "Making Pre-trained Language Models Great on Tabular Prediction"
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TableGPT2: A Large Multimodal Model with Tabular Data Integration
2024-11-10
Summary of the paper "TableGPT2: A Large Multimodal Model with Tabular Data Integration"
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Retrieval & Fine-Tuning for In-Context Tabular Models
2024-10-21
Summary of the paper "Retrieval & Fine-Tuning for In-Context Tabular Models"
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Large Scale Transfer Learning for Tabular Data via Language Modeling
2024-10-08
Summary of the paper "Large Scale Transfer Learning for Tabular Data via Language Modeling"
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TransTab: Learning Transferable Tabular Transformers Across Tables
2024-10-08
Summary of the paper "TransTab: Learning Transferable Tabular Transformers Across Tables"
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XTab: Cross-table Pretraining for Tabular Transformers
2024-06-24
Summary of the paper "XTab: Cross-table Pretraining for Tabular Transformers"