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Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data
  Fitted Networks

Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks

17 November 2023
Ben Feuer
Chinmay Hegde
Niv Cohen
ArXivPDFHTML

Papers citing "Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks"

12 / 12 papers shown
Title
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
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
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang
Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
38
0
0
17 Apr 2025
A Closer Look at TabPFN v2: Strength, Limitation, and Extension
Han-Jia Ye
Si-Yang Liu
Wei-Lun Chao
41
3
0
24 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Si-Yang Liu
Han-Jia Ye
66
5
0
04 Feb 2025
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce
  Applications
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications
Ricardo Knauer
Marvin Grimm
Erik Rodner
LMTD
36
2
0
03 Sep 2024
Mixture of In-Context Prompters for Tabular PFNs
Mixture of In-Context Prompters for Tabular PFNs
Derek Xu
Olcay Cirit
Reza Asadi
Yizhou Sun
Wei Wang
31
9
0
25 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context
  Time-series Forecasting
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Stijn Verdenius
Andrea Zerio
Roy L.M. Wang
BDL
AI4TS
AI4CE
27
2
0
16 May 2024
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep
  Learning for Data-Scarce Classification Applications
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications
Ricardo Knauer
Erik Rodner
LMTD
22
3
0
13 May 2024
In-Context Data Distillation with TabPFN
In-Context Data Distillation with TabPFN
Junwei Ma
Valentin Thomas
Guangwei Yu
Anthony L. Caterini
20
7
0
10 Feb 2024
Learning a Decision Tree Algorithm with Transformers
Learning a Decision Tree Algorithm with Transformers
Yufan Zhuang
Liyuan Liu
Chandan Singh
Jingbo Shang
Jianfeng Gao
39
5
0
06 Feb 2024
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
119
81
0
06 Feb 2022
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
242
690
0
27 Aug 2021
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