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TabNet: Attentive Interpretable Tabular Learning

TabNet: Attentive Interpretable Tabular Learning

20 August 2019
Sercan Ö. Arik
Tomas Pfister
    LMTD
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Papers citing "TabNet: Attentive Interpretable Tabular Learning"

5 / 405 papers shown
Title
Feature Importance Estimation with Self-Attention Networks
Feature Importance Estimation with Self-Attention Networks
Blaž Škrlj
S. Džeroski
Nada Lavrac
Matej Petković
FAtt
MILM
26
51
0
11 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks
Supervised Learning on Relational Databases with Graph Neural Networks
Milan Cvitkovic
23
42
0
06 Feb 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan Ö. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
18
1,406
0
19 Dec 2019
GRACE: Generating Concise and Informative Contrastive Sample to Explain
  Neural Network Model's Prediction
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction
Thai V. Le
Suhang Wang
Dongwon Lee
11
1
0
05 Nov 2019
Gradient Boosting Survival Tree with Applications in Credit Scoring
Gradient Boosting Survival Tree with Applications in Credit Scoring
M. Bai
Yan Zheng
Yun Shen
11
29
0
09 Aug 2019
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