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NODE-GAM: Neural Generalized Additive Model for Interpretable Deep
  Learning

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning

3 June 2021
C. Chang
R. Caruana
Anna Goldenberg
    AI4CE
ArXivPDFHTML

Papers citing "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"

15 / 15 papers shown
Title
Error-controlled non-additive interaction discovery in machine learning models
Error-controlled non-additive interaction discovery in machine learning models
Winston Chen
Yifan Jiang
William Stafford Noble
Yang Young Lu
45
1
0
17 Feb 2025
Linear Mode Connectivity in Differentiable Tree Ensembles
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh
M. Sugiyama
72
1
0
17 Feb 2025
Interpretable Prediction and Feature Selection for Survival Analysis
Interpretable Prediction and Feature Selection for Survival Analysis
Mike Van Ness
Madeleine Udell
39
2
0
23 Apr 2024
Neural Additive Image Model: Interpretation through Interpolation
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
34
1
0
06 Mar 2024
Multi-Objective Optimization of Performance and Interpretability of
  Tabular Supervised Machine Learning Models
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models
Lennart Schneider
B. Bischl
Janek Thomas
30
6
0
17 Jul 2023
Backpack Language Models
Backpack Language Models
John Hewitt
John Thickstun
Christopher D. Manning
Percy Liang
KELM
13
16
0
26 May 2023
Self-Reinforcement Attention Mechanism For Tabular Learning
Self-Reinforcement Attention Mechanism For Tabular Learning
Kodjo Mawuena Amekoe
M. Dilmi
Hanene Azzag
M. Lebbah
Zaineb Chelly Dagdia
Gregoire Jaffre
37
0
0
19 May 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable
  Generalized Additive Models
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien N. Siems
Konstantin Ditschuneit
Winfried Ripken
Alma Lindborg
Maximilian Schambach
Johannes Otterbach
Martin Genzel
19
6
0
19 May 2023
Structural Neural Additive Models: Enhanced Interpretable Machine
  Learning
Structural Neural Additive Models: Enhanced Interpretable Machine Learning
Mattias Luber
Anton Thielmann
Benjamin Säfken
31
7
0
18 Feb 2023
Neural Additive Models for Location Scale and Shape: A Framework for
  Interpretable Neural Regression Beyond the Mean
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
Anton Thielmann
René-Marcel Kruse
Thomas Kneib
Benjamin Säfken
29
12
0
27 Jan 2023
Interpretability with full complexity by constraining feature
  information
Interpretability with full complexity by constraining feature information
Kieran A. Murphy
Danielle Bassett
FAtt
27
5
0
30 Nov 2022
Higher-order Neural Additive Models: An Interpretable Machine Learning
  Model with Feature Interactions
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
Minkyu Kim
Hyunjin Choi
Jinho Kim
FAtt
35
8
0
30 Sep 2022
Neural Basis Models for Interpretability
Neural Basis Models for Interpretability
Filip Radenovic
Abhimanyu Dubey
D. Mahajan
FAtt
24
46
0
27 May 2022
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
88
294
0
13 Sep 2019
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
84
129
0
16 Oct 2018
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