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From Supervised to Generative: A Novel Paradigm for Tabular Deep
  Learning with Large Language Models

From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models

11 October 2023
Xumeng Wen
Han Zhang
Shun Zheng
Wei Xu
Jiang Bian
    LMTD
    ALM
ArXivPDFHTML

Papers citing "From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models"

4 / 4 papers shown
Title
Transfer Learning with Deep Tabular Models
Transfer Learning with Deep Tabular Models
Roman Levin
Valeriia Cherepanova
Avi Schwarzschild
Arpit Bansal
C. B. Bruss
Tom Goldstein
A. Wilson
Micah Goldblum
OOD
FedML
LMTD
40
52
0
30 Jun 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
298
8,441
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,436
0
15 Oct 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar S. Karnin
ViT
LMTD
122
298
0
11 Dec 2020
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