In-Context Data Distillation with TabPFN

10 February 2024

Papers citing "In-Context Data Distillation with TabPFN"

9 / 9 papers shown

Title
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 36 0 0 24 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 41 0 0 17 Apr 2025
In-context learning of evolving data streams with tabular foundational models Afonso Lourenço João Gama Eric P. Xing Goreti Marreiros 59 0 0 24 Feb 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Jingang Qu David Holzmüller Gaël Varoquaux Marine Le Morvan LMTD 78 4 0 08 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 66 5 0 04 Feb 2025
TabDPT: Scaling Tabular Foundation Models Junwei Ma Valentin Thomas Rasa Hosseinzadeh Hamidreza Kamkari Alex Labach Jesse C. Cresswell Keyvan Golestan Guangwei Yu M. Volkovs Anthony L. Caterini LMTD 32 3 0 23 Oct 2024
Retrieval & Fine-Tuning for In-Context Tabular Models Valentin Thomas Junwei Ma Rasa Hosseinzadeh Keyvan Golestan Guangwei Yu M. Volkovs Anthony L. Caterini 39 9 0 07 Jun 2024
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 79 58 0 03 Nov 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021