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TabMDA: Tabular Manifold Data Augmentation for Any Classifier using
  Transformers with In-context Subsetting

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting

3 June 2024
Andrei Margeloiu
A. Bazaga
Nikola Simidjievski
Pietro Lió
M. Jamnik
    LMTD
ArXivPDFHTML

Papers citing "TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting"

12 / 12 papers shown
Title
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
LLM Embeddings for Deep Learning on Tabular Data
LLM Embeddings for Deep Learning on Tabular Data
Boshko Koloski
Andrei Margeloiu
Xiangjian Jiang
Blaž Škrlj
Nikola Simidjievski
M. Jamnik
LMTD
72
0
0
17 Feb 2025
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
Michael Arbel
David Salinas
Frank Hutter
57
2
0
10 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
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
53
4
0
13 Mar 2024
Synthetic data, real errors: how (not) to publish and use synthetic data
Synthetic data, real errors: how (not) to publish and use synthetic data
B. V. Breugel
Zhaozhi Qian
M. Schaar
SyDa
57
28
0
16 May 2023
Class-Balancing Diffusion Models
Class-Balancing Diffusion Models
Yiming Qin
Huangjie Zheng
Jiangchao Yao
Mingyuan Zhou
Ya-Qin Zhang
DiffM
22
41
0
30 Apr 2023
Augmentation Invariant Manifold Learning
Augmentation Invariant Manifold Learning
Shulei Wang
24
1
0
01 Nov 2022
Adversarial random forests for density estimation and generative
  modeling
Adversarial random forests for density estimation and generative modeling
David S. Watson
Kristin Blesch
Jan Kapar
Marvin N. Wright
GAN
52
19
0
19 May 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
301
11,730
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
1,651
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
140
412
0
11 Dec 2020
1