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Tabular Data: Deep Learning is Not All You Need

Tabular Data: Deep Learning is Not All You Need

6 June 2021
Ravid Shwartz-Ziv
Amitai Armon
    LMTD
ArXivPDFHTML

Papers citing "Tabular Data: Deep Learning is Not All You Need"

13 / 113 papers shown
Title
Machine learning using longitudinal prescription and medical claims for
  the detection of nonalcoholic steatohepatitis (NASH)
Machine learning using longitudinal prescription and medical claims for the detection of nonalcoholic steatohepatitis (NASH)
Ozge Yasar
Patrick Long
Brett Harder
Hanna Marshall
S. Bhasin
...
M. DeLegge
S. Roy
O. Doyle
Nadea Leavitt
J. Rigg
8
10
0
07 Mar 2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat
  Analysis
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis
Gayathri R.G.
Atul Sajjanhar
Yong Xiang
AAML
18
8
0
06 Mar 2022
Benchmarking missing-values approaches for predictive models on health
  databases
Benchmarking missing-values approaches for predictive models on health databases
Alexandre Perez-Lebel
Gaël Varoquaux
Marine Le Morvan
Julie Josse
J B Poline
AI4TS
31
35
0
17 Feb 2022
Gradient boosting machines and careful pre-processing work best: ASHRAE
  Great Energy Predictor III lessons learned
Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned
Clayton Miller
Liu Hao
Chunlei Fu
AI4CE
34
6
0
07 Feb 2022
Bi-Discriminator Class-Conditional Tabular GAN
Bi-Discriminator Class-Conditional Tabular GAN
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
18
12
0
12 Nov 2021
Counterfactual Shapley Additive Explanations
Counterfactual Shapley Additive Explanations
Emanuele Albini
Jason Long
Danial Dervovic
Daniele Magazzeni
28
49
0
27 Oct 2021
Deep Neural Networks and Tabular Data: A Survey
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
49
650
0
05 Oct 2021
Simple Modifications to Improve Tabular Neural Networks
Simple Modifications to Improve Tabular Neural Networks
J. Fiedler
LMTD
91
19
0
06 Aug 2021
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise
  Selection and Semi-Automatic Extraction Approaches
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
Angelos Chatzimparmpas
Rafael M. Martins
Kostiantyn Kucher
Andreas Kerren
37
22
0
26 Mar 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar Karnin
ViT
LMTD
157
420
0
11 Dec 2020
Sequential Training of Neural Networks with Gradient Boosting
Sequential Training of Neural Networks with Gradient Boosting
S. Emami
Gonzalo Martýnez-Muñoz
ODL
21
19
0
26 Sep 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov
S. Morozov
Artem Babenko
LMTD
93
297
0
13 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
304
7,005
0
20 Apr 2018
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